From 105e665dc208760ef690bd2484b36b3285deb2af Mon Sep 17 00:00:00 2001 From: NingyuSun Date: Wed, 30 Sep 2026 17:14:17 +0900 Subject: [PATCH 1/3] Add the single-cell cell-type annotation case and benchmark scenario 3 Six CELLxGENE datasets annotated by their authors become 70 clusters with pinned marker tables, the Cell Ontology, HGNC and ASCT+B. Six models annotate the 24 pilot clusters, alone and in bioevidence's feedback loop, validated by the generic table, ontology, gene and reference grounders. 35 of 138 first answers gave a Cell Ontology ID that belongs to another term; none was admitted. Wrong or invalid annotations fell from 43% of answers to 18% of those admitted behind the gate, with half of the annotations routed to a person. The ASCT+B cross-check proved to be noise as a conflict source. --- CHANGELOG.md | 6 + evaluation/llm_benchmark/README.md | 66 + evaluation/llm_benchmark/agent_loop.py | 14 +- evaluation/llm_benchmark/celltype_loop.py | 385 ++ .../results/celltype-pilot/episodes.jsonl | 144 + .../results/celltype-pilot/summary.json | 3308 +++++++++++++++++ .../results/celltype-pilot/summary.md | 31 + examples/singlecell_celltype/README.md | 62 + .../singlecell_celltype/prepare_source.py | 184 + examples/singlecell_celltype/profile.yaml | 28 + .../sources/ATTRIBUTION.md | 35 + .../singlecell_celltype/sources/manifest.json | 159 + ...8fa125ff19bf059144cfc00ee98b3f2bbd3.tsv.gz | Bin 0 -> 7613 bytes ...1fc13fe72ac383760d336886501afacfa1b.tsv.gz | Bin 0 -> 5908 bytes ...9c324f807c12fd2cbc307aeba9cffcb3302.tsv.gz | Bin 0 -> 7458 bytes ...b8713c904ea9ab7b7d5d96f2cb28b8fc51f.obo.gz | Bin 0 -> 2625564 bytes ...5a6fc694f3a508040b19f6bfa29ae0d889e.tsv.gz | Bin 0 -> 4097344 bytes ...558558d49f69d688fe1758ac3348d6c6e56.tsv.gz | Bin 0 -> 6185 bytes ...2ec0226f329ff4fdc52033e41486fc3a58b.tsv.gz | Bin 0 -> 10489 bytes ...d857d695937291aa809f194b4006b1a4c7d.tsv.gz | Bin 0 -> 4451 bytes ...1d892278cfc5377937a37152123c8c6b98d.tsv.gz | Bin 0 -> 7321 bytes .../singlecell_celltype/sources/tasks.jsonl | 70 + .../singlecell_celltype/sources/truth.jsonl | 70 + tests/test_singlecell_case.py | 129 + 24 files changed, 4684 insertions(+), 7 deletions(-) create mode 100644 evaluation/llm_benchmark/celltype_loop.py create mode 100644 evaluation/llm_benchmark/results/celltype-pilot/episodes.jsonl create mode 100644 evaluation/llm_benchmark/results/celltype-pilot/summary.json create mode 100644 evaluation/llm_benchmark/results/celltype-pilot/summary.md create mode 100644 examples/singlecell_celltype/README.md create mode 100644 examples/singlecell_celltype/prepare_source.py create mode 100644 examples/singlecell_celltype/profile.yaml create mode 100644 examples/singlecell_celltype/sources/ATTRIBUTION.md create mode 100644 examples/singlecell_celltype/sources/manifest.json create mode 100644 examples/singlecell_celltype/sources/snapshots/0973035c1880e60359ca8af87b55d8fa125ff19bf059144cfc00ee98b3f2bbd3.tsv.gz create mode 100644 examples/singlecell_celltype/sources/snapshots/1dacf640d2c4d41b43f2b7e7d3b7a1fc13fe72ac383760d336886501afacfa1b.tsv.gz create mode 100644 examples/singlecell_celltype/sources/snapshots/351dbaacdd372af704594f4a36d889c324f807c12fd2cbc307aeba9cffcb3302.tsv.gz create mode 100644 examples/singlecell_celltype/sources/snapshots/7e19b4aef8e7fe7720b0c4474c6a5b8713c904ea9ab7b7d5d96f2cb28b8fc51f.obo.gz create mode 100644 examples/singlecell_celltype/sources/snapshots/91d0ad20c34f26fb12c8cce3f80a65a6fc694f3a508040b19f6bfa29ae0d889e.tsv.gz create mode 100644 examples/singlecell_celltype/sources/snapshots/a468f9b74afc3d0b358e28c1b514c558558d49f69d688fe1758ac3348d6c6e56.tsv.gz create mode 100644 examples/singlecell_celltype/sources/snapshots/a8bc60d1f3d0c6496eba01eb18f3f2ec0226f329ff4fdc52033e41486fc3a58b.tsv.gz create mode 100644 examples/singlecell_celltype/sources/snapshots/c627f49dc8fd53ee164a2fab9a818d857d695937291aa809f194b4006b1a4c7d.tsv.gz create mode 100644 examples/singlecell_celltype/sources/snapshots/fe2ff2cb67d700473d6285d4b052a1d892278cfc5377937a37152123c8c6b98d.tsv.gz create mode 100644 examples/singlecell_celltype/sources/tasks.jsonl create mode 100644 examples/singlecell_celltype/sources/truth.jsonl create mode 100644 tests/test_singlecell_case.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 3495ff3..5217c24 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,6 +2,12 @@ ## Unreleased +- Add the single-cell cell-type annotation case (`examples/singlecell_celltype`): marker tables derived + from six CELLxGENE datasets annotated by their authors, with the Cell Ontology, HGNC and ASCT+B pinned. + Benchmark scenario 3 runs six models on it, alone and in the feedback loop. In the pilot, 35 of 138 first + answers gave a Cell Ontology ID that belongs to another term; none was admitted. Wrong or invalid + annotations fell from 43% of answers to 18% of those admitted behind the gate, at the cost of half + the annotations going to a person. The ASCT+B cross-check proved to be noise as a conflict source. - Add generic grounders that check what a record cites against pinned reference releases, with messages that say what to fix: `OntologyGrounder` (ontology terms: existence, obsoletion, label, kind), `GeneGrounder` (HGNC symbols, previous symbols and aliases), `VariantGrounder` (HGVS form, diff --git a/evaluation/llm_benchmark/README.md b/evaluation/llm_benchmark/README.md index 7244023..b04ae97 100644 --- a/evaluation/llm_benchmark/README.md +++ b/evaluation/llm_benchmark/README.md @@ -235,6 +235,72 @@ What this shows: - One run, 18 tasks and a changed prompt: model-level numbers move between runs (GPT-5.6-Luna's first submissions went from 0 to 3 invalid citations), so read these as directions, not rates. +## Scenario 3: single-cell cell-type annotation + +The same loop outside the literature: each model annotates a cluster of a real single-cell dataset from +its top 20 marker genes, giving a Cell Ontology term and the markers that support it or argue against it +([case](../../examples/singlecell_celltype/README.md), [celltype_loop.py](celltype_loop.py), +[results](results/celltype-pilot/summary.md)). The reference is each study's own author annotation. +Answers are compared with it through the ontology: exact, coarser (an ancestor), finer (a descendant) or +wrong; an identifier that is not a current cell-type term is invalid. + +Bioevidence checks each answer with generic grounders: +- each cited marker must be one of the cluster's markers in the pinned table; +- the Cell Ontology term must exist, be current, be a cell type and match its label; +- gene symbols must be approved HGNC symbols; +- ASCT+B markers are cross-checked against the Cell Ontology's disjoint lineages. + +Fixable findings go back to the model, at most three answers. A record with the model's own contradicting +markers (BEV004) or an ASCT+B conflict (BEV025) goes to a person. Pilot, 24 clusters from six datasets, six +models: + +| Configuration | Annotated | Exact | Coarser | Finer | Wrong or invalid | Answers with an identifier or marker error | Routed to a person | +|---|---:|---:|---:|---:|---:|---:|---:| +| Model alone | 138/144 | 41 | 21 | 17 | 59 | 38/138 | 0 | +| Model + bioevidence gate | 56/144 | 32 | 13 | 1 | 10 | 0/56 | 82 | +| Model + bioevidence feedback loop | 67/144 | 35 | 13 | 4 | 15 | 0/67 | 71 | + +What this shows: + +- **Identifiers.** Models write Cell Ontology identifiers that belong to other terms. In 35 of 138 first + answers the ID and the label disagreed, e.g.: + - "Paneth cell" under CL:0000147 (pigment cell); + - "hepatic sinusoidal endothelial cell" under CL:0000639 (a basophil of the pituitary); + - "intestinal crypt stem cell" under CL:0002089 (a mouse ILC term). + + By model: Claude Haiku 4.5 and GPT-5.6-Luna each 12 of 23 answers with an identifier or marker error, + Gemini 3.8 Flash 7, Gemini 3.1 Pro 4, GPT-6-Astra 2, Claude Opus 5.5 1. A knowledge base stores the ID, + so these errors would enter it silently. + + None was admitted. The fix does not depend on the model: the finding names the term the label belongs + to. In the loop 11 were fixed and admitted; 26 went to a person, most because the revised answer still + carried its own contradicting markers. +- **Cell types.** Bioevidence cannot tell whether a cluster is an ILC2 or a Th2 cell. What its routing did + was concentrate wrong answers: 59 of 138 first answers were wrong or invalid (43%), against 10 of 56 + admitted behind the gate (18%) and 15 of 67 in the loop (22%). +- **Model-declared conflict is the strongest signal.** Answers in which the model cited a marker against + its own answer were wrong 63% of the time (39 of 62), against 26% (20 of 76) without. One example: + - Claude Haiku 4.5 called a pericyte cluster smooth muscle; + - it added that CCL2 and IGFBP7 suggest pericytes; + - that record went to a person. +- **The ASCT+B cross-check was mostly noise.** It fired on 23 first answers, 13 of them wrong, but for + reasons that do not hold. For example, CD44 cited for pancreatic ductal cells was flagged because + ASCT+B happens to list CD44 only for a lung T cell. FCER1G for NK cells was flagged because it is listed + for basophils and neutrophils. ASCT+B biomarker lists say where a gene is a marker, not that it is + specific. Disjointness removed the within-lineage alarms, but a partial reference still cannot support + "only". This protocol should not use it as a conflict source; the generic grounder stays, for + references that state specificity or exclusion. +- **The cost is the review load:** half of the annotations went to a person. Models cited markers against + their own answer in 64 of 144 first answers, because the prompt asked for "any that argue against it". + That is honest, and it carries the signal above, but it is more than a curation team can review. + +Limits: +- Author labels are the reference. Some are coarse ("stem cell", "precursor cell") and some debatable, so + "wrong" is partly label noise; exact plus coarser plus finer is the fairer measure of agreement. +- One run, 24 pilot clusters. The protocol, including the ASCT+B cross-check, was fixed before this run. + The lessons above are for the 46 held-out clusters, which must be run with a protocol frozen before + their results are seen. + ## Semantic checks (#31) Grounding cannot tell whether a verbatim quote supports the claim, so two semantic layers were diff --git a/evaluation/llm_benchmark/agent_loop.py b/evaluation/llm_benchmark/agent_loop.py index 22635c2..8027d00 100644 --- a/evaluation/llm_benchmark/agent_loop.py +++ b/evaluation/llm_benchmark/agent_loop.py @@ -94,26 +94,26 @@ def wsl_path(path: Path) -> str: return f"/mnt/{text[0].lower()}{text[2:]}" if re.match(r"^[A-Za-z]:/", text) else text -def call_model(key: str, prompt: str, timeout: int = 600) -> tuple[dict, list[str]]: - """One fresh CLI call answering STEP_SCHEMA, through the WSL installs of Claude Code, Codex and Antigravity.""" +def call_model(key: str, prompt: str, timeout: int = 600, schema: dict | None = None) -> tuple[dict, list[str]]: + """One fresh CLI call answering `schema` (default STEP_SCHEMA), through the WSL installs of Claude Code, Codex and Antigravity.""" spec = run_models.MODELS[key] with tempfile.TemporaryDirectory(prefix="agent-", dir=Path("C:/t/agent-work")) as directory: work = Path(directory) - (work / "schema.json").write_text(json.dumps(STEP_SCHEMA), encoding="utf-8") + (work / "schema.json").write_text(json.dumps(schema or STEP_SCHEMA), encoding="utf-8") (work / "prompt.txt").write_text(prompt, encoding="utf-8") - schema, folder = wsl_path(work / "schema.json"), wsl_path(work) + schema_file, folder = wsl_path(work / "schema.json"), wsl_path(work) if spec["cli"] == "claude": # the WSL install; the Windows CLI's login can expire mid-run command = ("PATH=$(ls -d ~/.nvm/versions/node/*/bin | tail -1):$PATH claude -p --model " f"{spec['model']} --tools '' --strict-mcp-config --no-session-persistence --output-format json " - f"--json-schema \"$(cat {schema})\" < prompt.txt") + f"--json-schema \"$(cat {schema_file})\" < prompt.txt") parse = run_models.claude_parse elif spec["cli"] == "codex": disable = " ".join(f"--disable {f}" for f in run_models.CODEX_DISABLED) command = (f"codex exec -m {spec['model']} --ignore-user-config {disable} --sandbox read-only " - f"--skip-git-repo-check --ephemeral --json --output-schema {schema} -o last.json - < prompt.txt") + f"--skip-git-repo-check --ephemeral --json --output-schema {schema_file} -o last.json - < prompt.txt") parse = run_models.codex_parse else: - command = (f"agy --model {spec['model']} --output-format stream-json --json-schema {schema} --sandbox " + command = (f"agy --model {spec['model']} --output-format stream-json --json-schema {schema_file} --sandbox " f"--print-timeout {timeout}s --print \"$(cat prompt.txt)\"") parse = run_models.gemini_parse done = subprocess.run(["wsl.exe", "-e", "bash", "-lc", f"export PATH=$HOME/.local/bin:$PATH; cd {folder} && {command}"], diff --git a/evaluation/llm_benchmark/celltype_loop.py b/evaluation/llm_benchmark/celltype_loop.py new file mode 100644 index 0000000..01a1bb4 --- /dev/null +++ b/evaluation/llm_benchmark/celltype_loop.py @@ -0,0 +1,385 @@ +"""Single-cell cell-type annotation by six models, alone and in bioevidence's feedback loop. + + uv run --frozen python evaluation/llm_benchmark/celltype_loop.py run --split pilot --output C:/t/celltype-pilot + uv run --frozen python evaluation/llm_benchmark/celltype_loop.py collect --output C:/t/celltype-pilot \ + --results evaluation/llm_benchmark/results/celltype-pilot + uv run --frozen python evaluation/llm_benchmark/celltype_loop.py score --results evaluation/llm_benchmark/results/celltype-pilot + +Each task shows a model the top 20 marker genes of one cluster of a real single-cell dataset (the cell types +its authors annotated, from `examples/singlecell_celltype`) and asks for the cluster's Cell Ontology term and +the marker genes that support or argue against it. The answer is built into an evidence record and validated +with five grounders: the pinned marker table (a cited marker must be one of this cluster's), the Cell Ontology +release (the term exists, is current, is a cell type and matches its label), HGNC (approved symbols), the +source bytes, and HuBMAP ASCT+B (a supporting marker that the reference assigns only to unrelated cell +types sends the record to an expert). The episode is `bioevidence_validator.feedback.revise`: fixable +findings go back to the model, at most three answers; conflicts go to an expert unchanged. + +One run gives three views: the model alone (its first answer as given), behind a bioevidence gate (its first +answer, validated) and in the feedback loop (its last answer, validated). Scoring is independent of the +grounders: each answer is compared with the authors' term using the ontology (exact, coarser, finer or +wrong), and its identifiers and markers are looked up directly. +""" +from __future__ import annotations + +import argparse +import concurrent.futures +import datetime as dt +import hashlib +import json +import subprocess +import sys +import threading +import time +from pathlib import Path +from typing import Any + +from bioevidence_validator import feedback +from bioevidence_validator.crosscheck import ReferenceGrounder +from bioevidence_validator.engine import RecordValidator +from bioevidence_validator.grounding import SnapshotStore, SourceBytesGrounder +from bioevidence_validator.identifiers import GeneGrounder, Genes, Ontology, OntologyGrounder, _label_key +from bioevidence_validator.tables import TableGrounder, parse_table + +ROOT = Path(__file__).resolve().parent +sys.path.insert(0, str(ROOT)) +import agent_loop # noqa: E402 +import run_models # noqa: E402 +import score_claims # noqa: E402 + +CASE = ROOT.parents[1] / "examples" / "singlecell_celltype" +SOURCES = CASE / "sources" +ROUNDS = 3 +DECISIONS, STANCES = ["annotate", "uncertain"], ["supports", "contradicts"] +FIELDS = ["decision", "cell_type_id", "cell_type_label", "markers", "rationale"] +SCHEMA = { + "type": "object", "additionalProperties": False, "required": FIELDS, + "properties": { + "decision": {"type": "string", "enum": DECISIONS}, + "cell_type_id": {"type": "string"}, "cell_type_label": {"type": "string"}, + "markers": {"type": "array", "items": {"type": "object", "additionalProperties": False, + "required": ["gene", "stance"], + "properties": {"gene": {"type": "string"}, + "stance": {"type": "string", "enum": STANCES}}}}, + "rationale": {"type": "string"}, + }, +} +PROMPT = """This cluster comes from a single-cell RNA-seq dataset of {species} {tissue} ({assay}). Its top marker \ +genes, ranked by log fold change against all other cells of the dataset (logfc: difference of mean log-normalised \ +expression; pct_in and pct_out: fraction of cells expressing the gene inside and outside the cluster): + +gene\tlogfc\tpct_in\tpct_out +{table} + +Which cell type is this cluster? Give its Cell Ontology term (the CL identifier and the term's name) and the \ +marker genes of this cluster that support it, and any that argue against it. If the markers do not identify a \ +cell type, set "decision" to "uncertain". Answer from what you know: do not run commands, search the web or read \ +files.""" +REVISION = """{prompt} + +Your previous answer: +{previous} + +A validator checked it against the pinned Cell Ontology release, the HGNC gene symbols and this cluster's marker \ +table, and did not accept it: +{reasons} + +Revise your answer.""" + + +def load_jsonl(path: Path) -> list[dict]: + return [json.loads(line) for line in path.read_text(encoding="utf-8").splitlines() if line.strip()] + + +class Case: + """The pinned case: tasks, snapshots, and the references the grounders and the scorer read.""" + + def __init__(self) -> None: + self.manifest = json.loads((SOURCES / "manifest.json").read_text(encoding="utf-8")) + self.store = SnapshotStore.from_directory(SOURCES / "snapshots") + self.ontology = Ontology.from_obo(self.store.get(self.manifest["cell_ontology"]["sha256"]) or b"") + self.genes = Genes.from_hgnc(self.store.get(self.manifest["hgnc"]["sha256"]) or b"", + self.manifest["hgnc"]["retrieved"]) + self.reference = self.store.get(self.manifest["asctb"]["sha256"]) or b"" + self.tasks = {t["task_id"]: t for t in load_jsonl(SOURCES / "tasks.jsonl")} + self.versions = {d["markers_sha256"]: d["dataset_version_id"] for d in self.manifest["datasets"]} + self.tables = {sha: parse_table(self.store.get(sha) or b"")[1] for sha in self.versions} + + def validator(self) -> RecordValidator: + return RecordValidator(profile=CASE / "profile.yaml", grounders=[ + SourceBytesGrounder(self.store), TableGrounder(self.store, ["marker_gene"]), + OntologyGrounder([self.ontology], roots={"cell_type": ["CL:0000000"]}), GeneGrounder(self.genes), + ReferenceGrounder.from_table(self.reference, label="ASCT+B", evidence_key="gene", relation="marker_of", + ontology=self.ontology, conflict="disjoint")]) + + def markers(self, task: dict) -> set[str]: + return {r["gene"] for r in self.tables[task["markers_sha256"]] if r["cluster"] == task["cluster"]} + + +def prompt(task: dict) -> str: + table = "\n".join(f"{m['gene']}\t{m['logfc']}\t{m['pct_in']}\t{m['pct_out']}" for m in task["markers"]) + return PROMPT.format(species=task["species"], tissue=task["tissue"], assay=task["assay"], table=table) + + +def check_answer(answer: Any) -> dict: + if not isinstance(answer, dict) or set(answer) != set(FIELDS) or answer["decision"] not in DECISIONS: + raise ValueError("invalid answer") + if not isinstance(answer["markers"], list) or not all( + isinstance(m, dict) and set(m) == {"gene", "stance"} and isinstance(m["gene"], str) and m["stance"] in STANCES + for m in answer["markers"]): + raise ValueError("invalid markers") + return answer + + +def gene_token(text: str) -> str: + return text.strip().replace(";", "_").replace("=", "_") or "_" + + +def record(case: Case, task: dict, answer: dict) -> dict | None: + """The answer as an evidence record, or None when the model does not annotate.""" + if answer["decision"] != "annotate" or not answer["cell_type_id"].strip(): + return None + sha = task["markers_sha256"] + items, lines = [], {} + for n, marker in enumerate(answer["markers"], start=1): + items.append({"id": f"bioev:marker-{n}", "source_artifact_id": "bioev:markers", + "locator": f"cluster={task['cluster']};gene={gene_token(marker['gene'])}", + "evidence_type": "marker_gene", "extraction_method": "llm_extraction", "scope": ["NCBITaxon:9606"]}) + lines.setdefault(marker["stance"], []).append(items[-1]["id"]) + return { + "record_id": f"bioev:celltype-{task['task_id']}", "profile_id": "singlecell-celltype", + "statement": {"id": f"bioev:celltype-statement-{task['task_id']}", + "subject": {"id": f"cluster:{task['dataset']}/{task['cluster']}", + "label": f"cluster {task['cluster']} of the {task['tissue']} dataset", + "entity_type": "cell_cluster"}, + "predicate": "has_cell_type", + "object": {"id": answer["cell_type_id"].strip(), "label": answer["cell_type_label"].strip(), + "entity_type": "cell_type"}, + "scope": ["NCBITaxon:9606"], "statement_status": "proposed", + "evidence_lines": [{"id": f"bioev:line-{d}", "direction": d, "evidence_item_ids": ids} + for d, ids in lines.items()]}, + "source_artifacts": [{"id": "bioev:markers", "title": f"Marker table of the {task['dataset']} dataset", + "source_type": "dataset_snapshot", "uri": f"urn:sha256:{sha}", + "version": case.versions[sha], "retrieved_at": "2026-09-30T00:00:00Z", + "sha256": sha, "observed_sha256": sha}], + "evidence_items": items, "adjudications": [], "requested_uses": ["research_summary"], + } + + +def episode(key: str, task: dict, case: Case) -> dict: + validator, calls, last = case.validator(), [], {} + + def propose(reasons: list[str]) -> dict | None: + text = prompt(task) if not reasons else REVISION.format( + prompt=prompt(task), previous=json.dumps(last["answer"], ensure_ascii=False), + reasons="\n".join(f"- {r}" for r in reasons)) + started, answer, error, tools = time.monotonic(), None, None, [] + for _ in range(2): # one retry on an invalid answer or a tool call of the CLI's own + try: + answer, tools = agent_loop.call_model(key, text, schema=SCHEMA) + answer = check_answer(answer) + if not tools: + break + except (ValueError, KeyError, OSError, subprocess.TimeoutExpired, json.JSONDecodeError) as exc: + answer, error = None, f"{type(exc).__name__}: {exc}"[:300] + calls.append({"answer": answer, "error": error if answer is None else None, "cli_tools": tools, + "feedback": reasons, "seconds": round(time.monotonic() - started, 1)}) + if answer is None: + return None + last["answer"] = answer + return record(case, task, answer) + + attempts = feedback.revise(propose, validator, rounds=ROUNDS) + return {"model": key, "task_id": task["task_id"], "calls": calls, + "attempts": [{"status": a.report["overall_status"], + "codes": sorted({f["rule_id"] for f in a.report["findings"]}), + "to_expert": feedback.to_expert(a.report), + "findings": [{"rule_id": f["rule_id"], "where": feedback.where(a.record, f["field_path"]), + "message": f["message"]} for f in a.report["findings"]], + "evidence": len(a.record["evidence_items"])} for a in attempts], + "finished_at": dt.datetime.now(dt.UTC).isoformat()} + + +def run(output: Path, split: str, models: list[str], workers: int, limit: int | None) -> int: + case = Case() + tasks = [t for t in case.tasks.values() if t["split"] == split][:limit] + Path("C:/t/agent-work").mkdir(parents=True, exist_ok=True) + jobs = [(key, task, output / "episodes" / key / f"{task['task_id']}.json") for task in tasks for key in models] + jobs = [job for job in jobs if not job[2].exists()] + print(f"{len(jobs)} episode(s) to run", flush=True) + # Claude models share the operator's Claude usage limit: one episode at a time. + slots = {key: threading.Semaphore(1 if run_models.MODELS[key]["cli"] == "claude" else workers) for key in models} + + def work(job): + key, task, path = job + with slots[key]: + result = episode(key, task, case) + path.parent.mkdir(parents=True, exist_ok=True) + path.write_text(json.dumps(result, indent=2, ensure_ascii=False) + "\n", encoding="utf-8") + return result + + with concurrent.futures.ThreadPoolExecutor(max_workers=workers * len(models)) as pool: + for n, result in enumerate(pool.map(work, jobs), start=1): + final = result["attempts"][-1]["status"] if result["attempts"] else "no record" + errors = sum(c["error"] is not None for c in result["calls"]) + print(f"[{n}/{len(jobs)}] {result['model']} {result['task_id']}: {len(result['calls'])} call(s), " + f"{len(result['attempts'])} record(s), final {final}, {errors} error(s)", flush=True) + return 0 + + +def collect(output: Path, results: Path) -> None: + rows = [json.loads(p.read_text(encoding="utf-8")) for p in sorted((output / "episodes").glob("*/*.json"))] + for row in rows: + row.pop("finished_at", None) + results.mkdir(parents=True, exist_ok=True) + score_claims.write_jsonl(results / "episodes.jsonl", rows) + score(results) + + +# Scoring, independent of the grounders: direct lookups in the pinned releases and the marker table. + +def outcome(case: Case, truth: str, answer: dict) -> str: + term = case.ontology.terms.get(answer["cell_type_id"].strip()) + if term is None or term.obsolete or "CL:0000000" not in case.ontology.ancestors(term.id): + return "invalid" + if term.id == truth: + return "exact" + if term.id in case.ontology.ancestors(truth): + return "coarser" + if truth in case.ontology.ancestors(term.id): + return "finer" + return "wrong" + + +def problems(case: Case, task: dict, answer: dict) -> list[str]: + found = [] + term = case.ontology.terms.get(answer["cell_type_id"].strip()) + if term is None: + found.append("unknown_id") + elif term.obsolete: + found.append("obsolete_id") + elif "CL:0000000" not in case.ontology.ancestors(term.id): + found.append("not_a_cell_type") + elif _label_key(answer["cell_type_label"]) not in {_label_key(t) for t in [term.name, *term.synonyms]}: + found.append("label_mismatch") + markers = case.markers(task) + genes = [m["gene"].strip() for m in answer["markers"]] + if any(g not in case.genes.approved for g in genes): + found.append("unapproved_symbol") + if any(g not in markers for g in genes): + found.append("marker_not_in_data") + if not genes: + found.append("no_markers") + return found + + +VIEWS = [("model", "Model alone (first answer)"), ("gate", "Model + bioevidence gate (first answer)"), + ("loop", "Model + bioevidence feedback loop (last answer)")] + + +def view(row: dict, name: str) -> dict: + """What a view delivers: an answer (or none), and whether it went to a person.""" + calls, attempts = row["calls"], row["attempts"] + answered = [c["answer"] for c in calls if c["answer"] is not None] + if name == "model": + first = calls[0]["answer"] if calls else None + return {"answer": first if first and first["decision"] == "annotate" else None, "routed": False, "expert": False} + if not attempts: + return {"answer": None, "routed": False, "expert": False} + chosen = attempts[0] if name == "gate" else attempts[-1] + index = 0 if name == "gate" else len(attempts) - 1 + annotating = [a for a in answered if a["decision"] == "annotate" and a["cell_type_id"].strip()] + if chosen["status"] == "admitted": + return {"answer": annotating[index], "routed": False, "expert": False} + return {"answer": None, "routed": True, "expert": chosen["to_expert"]} + + +def score(results: Path) -> dict: + case = Case() + truth = {t["task_id"]: t for t in load_jsonl(SOURCES / "truth.jsonl")} + rows = load_jsonl(results / "episodes.jsonl") + models = [m for m in score_claims.MODEL_NAMES if any(r["model"] == m for r in rows)] + + def metrics(mine: list[dict], name: str) -> dict: + views = [(r, view(r, name)) for r in mine] + delivered = [(r, v) for r, v in views if v["answer"] is not None] + kinds = [outcome(case, truth[r["task_id"]]["term"], v["answer"]) for r, v in delivered] + issues = [problems(case, case.tasks[r["task_id"]], v["answer"]) for r, v in delivered] + rate = score_claims.rate + return {"tasks": len(mine), "answered": rate(len(delivered), len(mine)), + **{k: rate(kinds.count(k), len(mine)) for k in ("exact", "coarser", "finer", "wrong", "invalid")}, + "compatible": rate(sum(k in ("exact", "coarser", "finer") for k in kinds), len(mine)), + "with_identifier_or_marker_error": rate(sum(bool(i) for i in issues), len(delivered)), + **{f"error_{p}": rate(sum(p in i for i in issues), len(delivered)) + for p in ("unknown_id", "obsolete_id", "not_a_cell_type", "label_mismatch", "unapproved_symbol", + "marker_not_in_data", "no_markers")}, + "routed_to_a_person": rate(sum(v["routed"] for _, v in views), len(mine)), + "to_an_expert_as_conflict": rate(sum(v["expert"] for _, v in views), len(mine))} + + split = case.tasks[rows[0]["task_id"]]["split"] if rows else "pilot" + summary = {"benchmark": "singlecell-celltype-v1", "split": split, + "results": {m: {n: metrics([r for r in rows if r["model"] == m], n) for n, _ in VIEWS} for m in models}, + "pooled": {n: metrics(rows, n) for n, _ in VIEWS}, "episodes": len(rows), + "calls": sum(len(r["calls"]) for r in rows), "failed_calls": sum(c["error"] is not None + for r in rows for c in r["calls"]), + "revised": sum(len(r["attempts"]) > 1 for r in rows), + "codes": {c: sum(c in a["codes"] for r in rows for a in r["attempts"]) + for c in sorted({c for r in rows for a in r["attempts"] for c in a["codes"]})}, + "episodes_sha256": hashlib.sha256((results / "episodes.jsonl").read_bytes()).hexdigest()} + (results / "summary.json").write_text(json.dumps(summary, indent=2, sort_keys=True) + "\n", encoding="utf-8", + newline="\n") + (results / "summary.md").write_text(render(summary), encoding="utf-8", newline="\n") + print(render(summary)) + return summary + + +def render(summary: dict) -> str: + f = score_claims.fraction + lines = [f"# Single-cell cell-type annotation ({summary['split']} set)", "", + "Each model annotates one cluster from its top 20 marker genes with a Cell Ontology term and the markers " + "that support it. Compared with the authors' term: exact, coarser (an ancestor), finer (a descendant) or " + "wrong; an identifier that is not a current cell type term is invalid.", "", + "| Model | View | Answered | Exact | Coarser | Finer | Wrong | Invalid ID | Answers with an identifier " + "or marker error | Routed to a person |", "|---|---|---:|---:|---:|---:|---:|---:|---:|---:|"] + blocks = [(score_claims.MODEL_NAMES[m], v) for m, v in summary["results"].items()] + [("All models", summary["pooled"])] + for name, views in blocks: + for key, label in VIEWS: + m = views[key] + lines.append(f"| {name} | {label} | {f(m['answered'])} | {f(m['exact'])} | {f(m['coarser'])} | " + f"{f(m['finer'])} | {f(m['wrong'])} | {f(m['invalid'])} | " + f"{f(m['with_identifier_or_marker_error'])} | {f(m['routed_to_a_person'])} |") + p = summary["pooled"]["model"] + lines += ["", "Errors in the models' first answers (all models): " + + ", ".join(f"{k.removeprefix('error_').replace('_', ' ')} {f(p[k])}" for k in sorted(p) + if k.startswith("error_")) + ".", + "", f"{summary['episodes']} episodes, {summary['calls']} model calls ({summary['failed_calls']} failed), " + f"{summary['revised']} revised after feedback. Rule codes raised across all records: " + + ", ".join(f"{c} {n}" for c, n in summary["codes"].items()) + ".", ""] + return "\n".join(lines) + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) + steps = parser.add_subparsers(dest="step", required=True) + r = steps.add_parser("run") + r.add_argument("--output", type=Path, required=True) + r.add_argument("--split", choices=["pilot", "test"], default="pilot") + r.add_argument("--models", nargs="+", choices=list(run_models.MODELS), default=list(run_models.MODELS)) + r.add_argument("--workers", type=int, default=2) + r.add_argument("--limit", type=int) + c = steps.add_parser("collect") + c.add_argument("--output", type=Path, required=True) + c.add_argument("--results", type=Path, required=True) + s = steps.add_parser("score") + s.add_argument("--results", type=Path, required=True) + args = parser.parse_args(argv) + if args.step == "collect": + collect(args.output, args.results) + return 0 + if args.step == "score": + score(args.results) + return 0 + return run(args.output, args.split, args.models, args.workers, args.limit) + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/evaluation/llm_benchmark/results/celltype-pilot/episodes.jsonl b/evaluation/llm_benchmark/results/celltype-pilot/episodes.jsonl new file mode 100644 index 0000000..21b2628 --- /dev/null +++ b/evaluation/llm_benchmark/results/celltype-pilot/episodes.jsonl @@ -0,0 +1,144 @@ +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'liver sinusoidal endothelial cell' is not the name of CL:0002138 ('endothelial cell of lymphatic vessel'). 'liver sinusoidal endothelial cell' is the name of CL:1000398 (endothelial cell of hepatic sinusoid).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002138", "cell_type_label": "liver sinusoidal endothelial cell", "decision": "annotate", "markers": [{"gene": "CLDN5", "stance": "supports"}, {"gene": "TFPI", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "HSPG2", "stance": "supports"}, {"gene": "IL6ST", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "ID1", "stance": "supports"}, {"gene": "ID3", "stance": "supports"}, {"gene": "TIMP1", "stance": "contradicts"}, {"gene": "TIMP3", "stance": "contradicts"}, {"gene": "FCN2", "stance": "contradicts"}, {"gene": "FCN3", "stance": "contradicts"}, {"gene": "IFI27", "stance": "contradicts"}], "rationale": "The cluster shows strong endothelial cell markers, particularly CLDN5 (claudin-5, tight junction protein with very high specificity: 0.713 in-cluster vs 0.020 out-of-cluster) and TFPI (tissue factor pathway inhibitor), which are canonical endothelial markers. Additional supporting markers include TM4SF1 (tetraspanin involved in endothelial function), HSPG2 (perlecan, a key ECM component of endothelial basement membrane), IL6ST, and GNG11. In the liver context (caudate lobe), this profile is consistent with liver sinusoidal endothelial cells (LSECs), which form the specialized fenestrated endothelium of hepatic sinusoids. The angiogenesis-related markers ID1 and ID3 further support endothelial identity. However, TIMP1 and TIMP3 (tissue inhibitors of metalloproteinases) are more typical of fibroblasts, and FCN2/FCN3 (ficolins) and IFI27 (interferon-induced) are more characteristic of monocytes/macrophages or immune activation. These contradicting markers may reflect either mixed populations or LSECs' known immune surveillance functions, but the preponderance of endothelial-specific markers strongly supports the endothelial classification."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 27.9}, {"answer": {"cell_type_id": "CL:1000398", "cell_type_label": "endothelial cell of hepatic sinusoid", "decision": "annotate", "markers": [{"gene": "CLDN5", "stance": "supports"}, {"gene": "TFPI", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "HSPG2", "stance": "supports"}, {"gene": "IL6ST", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "ID1", "stance": "supports"}, {"gene": "ID3", "stance": "supports"}, {"gene": "TIMP1", "stance": "contradicts"}, {"gene": "TIMP3", "stance": "contradicts"}, {"gene": "FCN2", "stance": "contradicts"}, {"gene": "FCN3", "stance": "contradicts"}, {"gene": "IFI27", "stance": "contradicts"}], "rationale": "The cluster shows strong endothelial cell markers, particularly CLDN5 (claudin-5, tight junction protein with high specificity: 0.713 in-cluster vs 0.020 out-of-cluster) and TFPI (tissue factor pathway inhibitor), which are canonical endothelial markers. Additional supporting markers include TM4SF1 (tetraspanin involved in endothelial function), HSPG2 (perlecan, a key ECM component of endothelial basement membrane), IL6ST, and GNG11. In the liver context (caudate lobe), this profile is consistent with hepatic sinusoidal endothelial cells (HSECs), which form the specialized fenestrated endothelium of hepatic sinusoids. The angiogenesis-related markers ID1 and ID3 further support endothelial identity. However, TIMP1 and TIMP3 are more typical of fibroblasts, and FCN2/FCN3 and IFI27 are more characteristic of immune cells, likely reflecting HSECs' known immune surveillance functions."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'liver sinusoidal endothelial cell' is not the name of CL:0002138 ('endothelial cell of lymphatic vessel'). 'liver sinusoidal endothelial cell' is the name of CL:1000398 (endothelial cell of hepatic sinusoid)."], "seconds": 11.7}], "model": "claude-haiku", "task_id": "ct-04aaea9940"} +{"attempts": [{"codes": [], "evidence": 15, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "enterocyte", "decision": "annotate", "markers": [{"gene": "FABP2", "stance": "supports"}, {"gene": "SI", "stance": "supports"}, {"gene": "SLC5A1", "stance": "supports"}, {"gene": "SLC26A3", "stance": "supports"}, {"gene": "ANPEP", "stance": "supports"}, {"gene": "ALDOB", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "APOA4", "stance": "supports"}, {"gene": "APOB", "stance": "supports"}, {"gene": "APOC3", "stance": "supports"}, {"gene": "CES2", "stance": "supports"}, {"gene": "TMPRSS15", "stance": "supports"}, {"gene": "PIGR", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "CDHR5", "stance": "supports"}], "rationale": "The marker profile is highly consistent with enterocytes. High-confidence brush border markers (FABP2, SI, SLC5A1, ANPEP) combined with elevated apolipoproteins and lipid metabolism genes reflect the enterocyte's roles in nutrient absorption and lipoprotein synthesis. Expression in essentially all cells in the cluster (pct_in ≈ 0.99-1.0) and much lower expression outside (pct_out typically 0.3-0.9) indicates strong cluster enrichment. No contradictory markers present."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 24.2}], "model": "claude-haiku", "task_id": "ct-085bedbfa5"} +{"attempts": [{"codes": ["BEV017"], "evidence": 6, "findings": [{"message": "The label 'Paneth cell' is not the name of CL:0000147 ('pigment cell'). 'Paneth cell' is the name of CL:0000510 (paneth cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 6, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000147", "cell_type_label": "Paneth cell", "decision": "annotate", "markers": [{"gene": "REG1A", "stance": "supports"}, {"gene": "OLFM4", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "REG3A", "stance": "supports"}, {"gene": "AGR2", "stance": "supports"}], "rationale": "REG1A, OLFM4, DMBT1, SPINK1, and REG3A are canonical Paneth cell markers expressed at very high logfc with high specificity (low pct_out relative to their high pct_in). These genes encode antimicrobial peptides and secretory proteins characteristic of Paneth cells, the specialized secretory cells at the base of intestinal crypts. AGR2 supports this profile as a protein disulfide isomerase involved in secretory cell function. The metallothionein genes are consistent with the oxidative environment of highly active secretory cells. No contradictory markers are present.\""}, "cli_tools": [], "error": null, "feedback": [], "seconds": 25.6}, {"answer": {"cell_type_id": "CL:0000510", "cell_type_label": "paneth cell", "decision": "annotate", "markers": [{"gene": "REG1A", "stance": "supports"}, {"gene": "OLFM4", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "REG3A", "stance": "supports"}, {"gene": "AGR2", "stance": "supports"}], "rationale": "REG1A, OLFM4, DMBT1, SPINK1, and REG3A are canonical Paneth cell markers expressed at very high logfc with high specificity (low pct_out relative to their high pct_in). These genes encode antimicrobial peptides and secretory proteins characteristic of Paneth cells, the specialized secretory cells at the base of intestinal crypts. AGR2 supports this profile as a protein disulfide isomerase involved in secretory cell function. The metallothionein genes are consistent with the oxidative environment of highly active secretory cells. No contradictory markers are present."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'Paneth cell' is not the name of CL:0000147 ('pigment cell'). 'Paneth cell' is the name of CL:0000510 (paneth cell)."], "seconds": 9.3}], "model": "claude-haiku", "task_id": "ct-0f769ebe10"} +{"attempts": [{"codes": ["BEV004"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000148", "cell_type_label": "melanocyte", "decision": "annotate", "markers": [{"gene": "DCT", "stance": "supports"}, {"gene": "TYRP1", "stance": "supports"}, {"gene": "MLANA", "stance": "supports"}, {"gene": "PMEL", "stance": "supports"}, {"gene": "MITF", "stance": "supports"}, {"gene": "GPNMB", "stance": "supports"}, {"gene": "PLP1", "stance": "contradicts"}], "rationale": "This cluster has a strong, unambiguous melanocyte signature. DCT, TYRP1, MLANA, PMEL, and MITF are canonical melanocyte markers: DCT and TYRP1 encode proteins in the melanin synthesis pathway; MLANA (Melan-A) is a well-characterized melanocyte antigen; PMEL is a major premelanosomal protein; MITF is the master transcription factor for melanocyte differentiation. All five show high fold-change and high selectivity (pct_in >> pct_out). GPNMB is another melanosomal protein supporting this assignment. The only contradictory marker is PLP1, a myelin protein more characteristic of oligodendrocytes; its presence here is anomalous but does not override the overwhelming melanocyte-specific signature from the top markers."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 19.2}], "model": "claude-haiku", "task_id": "ct-1445edf08f"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 16, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'intestinal epithelial cell' is not the name of CL:0000584 ('enterocyte'). 'intestinal epithelial cell' is the name of CL:0002563 (intestinal epithelial cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 16, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "intestinal epithelial cell", "decision": "annotate", "markers": [{"gene": "KRT8", "stance": "supports"}, {"gene": "KRT19", "stance": "supports"}, {"gene": "KRT18", "stance": "supports"}, {"gene": "EPCAM", "stance": "supports"}, {"gene": "PIGR", "stance": "supports"}, {"gene": "FABP1", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}, {"gene": "LGALS4", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "AGR2", "stance": "supports"}, {"gene": "CPS1", "stance": "contradicts"}, {"gene": "MT1G", "stance": "contradicts"}, {"gene": "MT1E", "stance": "contradicts"}, {"gene": "MT1X", "stance": "contradicts"}, {"gene": "MT2A", "stance": "contradicts"}], "rationale": "The marker signature is highly consistent with intestinal epithelial cells from duodenal tissue. Cytokeratins (KRT8/19/18) and EPCAM are core epithelial identity markers. PIGR (secretory IgA receptor), FABP1 (intestinal fatty acid binding protein), and RBP2 (retinol metabolism) are characteristic of absorptive intestinal epithelium. DMBT1, LGALS4, REG1A, and AGR2 further support epithelial identity. CPS1 (urea cycle enzyme, primarily hepatic) is unexpected and suggests possible contamination or non-canonical expression. Metallothioneins are ubiquitous stress/storage proteins not cell-type specific, though their high ranking suggests some metabolic activity in these cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 26.3}, {"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "enterocyte", "decision": "annotate", "markers": [{"gene": "KRT8", "stance": "supports"}, {"gene": "KRT19", "stance": "supports"}, {"gene": "KRT18", "stance": "supports"}, {"gene": "EPCAM", "stance": "supports"}, {"gene": "PIGR", "stance": "supports"}, {"gene": "FABP1", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}, {"gene": "LGALS4", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "AGR2", "stance": "supports"}, {"gene": "CPS1", "stance": "contradicts"}, {"gene": "MT1G", "stance": "contradicts"}, {"gene": "MT1E", "stance": "contradicts"}, {"gene": "MT1X", "stance": "contradicts"}, {"gene": "MT2A", "stance": "contradicts"}], "rationale": "The marker signature is highly consistent with enterocytes from duodenal tissue. Cytokeratins (KRT8/19/18) and EPCAM are core epithelial identity markers. PIGR (secretory IgA receptor), FABP1 (intestinal fatty acid binding protein), and RBP2 (retinol metabolism) are characteristic of absorptive intestinal epithelium. DMBT1, LGALS4, REG1A, and AGR2 further support enterocyte identity. CPS1 (urea cycle enzyme, primarily hepatic) is unexpected and suggests possible contamination or non-canonical expression. Metallothioneins are ubiquitous stress/storage proteins not cell-type specific, though their high ranking suggests some metabolic activity in these cells."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'intestinal epithelial cell' is not the name of CL:0000584 ('enterocyte'). 'intestinal epithelial cell' is the name of CL:0002563 (intestinal epithelial cell)."], "seconds": 14.8}], "model": "claude-haiku", "task_id": "ct-1fed4d68f2"} +{"attempts": [{"codes": ["BEV004"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000192", "cell_type_label": "smooth muscle cell", "decision": "annotate", "markers": [{"gene": "ACTA2", "stance": "supports"}, {"gene": "MYL9", "stance": "supports"}, {"gene": "MYH11", "stance": "supports"}, {"gene": "TAGLN", "stance": "supports"}, {"gene": "TPM2", "stance": "supports"}, {"gene": "CALD1", "stance": "supports"}, {"gene": "CCL2", "stance": "contradicts"}, {"gene": "IGFBP7", "stance": "contradicts"}], "rationale": "Strong ensemble of contractile proteins (ACTA2, MYL9, MYH11, TAGLN, TPM2, CALD1) definitively indicates smooth muscle differentiation. CCL2 and IGFBP7 suggest possible myofibroblast features (activated fibroblasts with smooth muscle characteristics), but the contractile gene signature is dominant and diagnostic."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 26.8}], "model": "claude-haiku", "task_id": "ct-22fc152fbd"} +{"attempts": [{"codes": ["BEV004"], "evidence": 10, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000624", "cell_type_label": "CD4-positive, alpha-beta T cell", "decision": "annotate", "markers": [{"gene": "IL7R", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "LTA", "stance": "supports"}, {"gene": "TOX2", "stance": "supports"}, {"gene": "CD52", "stance": "supports"}, {"gene": "LST1", "stance": "supports"}, {"gene": "RORC", "stance": "supports"}, {"gene": "ZBTB16", "stance": "supports"}, {"gene": "IL4I1", "stance": "supports"}, {"gene": "KIT", "stance": "contradicts"}], "rationale": "Strong concordance of T cell lineage markers (IL7R, CD52, LST1), CD4+ subset markers (IL7R especially), T cell development factors (TOX2), and T cell-produced cytokines (LTA, LTB). RORC indicates Th17 polarization. KIT expression is atypical for T cells but not prohibitive in activated populations. This is a confident CD4-positive helper T cell annotation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 39.6}], "model": "claude-haiku", "task_id": "ct-307f739343"} +{"attempts": [{"codes": [], "evidence": 10, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000171", "cell_type_label": "pancreatic alpha cell", "decision": "annotate", "markers": [{"gene": "GCG", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "PCSK2", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "VGF", "stance": "supports"}, {"gene": "SLC30A8", "stance": "supports"}, {"gene": "SLC7A2", "stance": "supports"}], "rationale": "This cluster is definitively a pancreatic alpha cell based on GCG (glucagon) as the top marker with the highest logfc (5.1), the hormone specifically produced by alpha cells. Supporting markers include TTR (transthyretin, highly alpha-specific), PCSK2 (prohormone convertase for glucagon processing), and the chromogranins CHGA/CHGB which are characteristic of secretory endocrine cells. Secretogranins (SCG2, SCG5, VGF) and zinc transporter SLC30A8 are all consistent with pancreatic alpha cell identity. The cationic amino acid transporter SLC7A2 is relevant to arginine metabolism in glucagon synthesis. No markers strongly contradict this identity—all are consistent with endocrine/neuroendocrine cell biology.\n"}, "cli_tools": [], "error": null, "feedback": [], "seconds": 27.2}], "model": "claude-haiku", "task_id": "ct-32e6a3a16d"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 11, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'capillary endothelial cell' is not the name of CL:0002541 ('chorionic membrane mesenchymal stem cell'). 'capillary endothelial cell' is the name of CL:0002144 (capillary endothelial cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 11, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002541", "cell_type_label": "capillary endothelial cell", "decision": "annotate", "markers": [{"gene": "PLVAP", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "CAVIN2", "stance": "supports"}, {"gene": "RAMP3", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "HLA-E", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}, {"gene": "HLA-B", "stance": "supports"}, {"gene": "IFI27", "stance": "contradicts"}, {"gene": "IFITM3", "stance": "contradicts"}, {"gene": "HSPA1A", "stance": "contradicts"}], "rationale": "PLVAP (plasmalemma vesicle-associated protein) is a highly specific and dominant marker (logfc 1.996, 87.9% expression in-cluster vs 3.7% out) for fenestrated endothelium, which is the primary endothelial type found in kidney glomerular capillaries. Supporting markers include TM4SF1 and CAVIN2 (endothelial cytoskeletal proteins), RAMP3 (endothelial receptor), and HLA genes reflecting MHC expression typical of endothelium. CD74 further supports endothelial identity. The major contradicting markers are IFI27, IFITM3, and HSPA1A—interferon-stimulated and stress response genes rarely prominent in resting endothelium. This likely reflects activated or inflammatory endothelium, possibly from immune stimulation or infection in the tissue sample at time of collection, but the endothelial identity is unambiguous."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 34.8}, {"answer": {"cell_type_id": "CL:0002144", "cell_type_label": "capillary endothelial cell", "decision": "annotate", "markers": [{"gene": "PLVAP", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "CAVIN2", "stance": "supports"}, {"gene": "RAMP3", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "HLA-E", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}, {"gene": "HLA-B", "stance": "supports"}, {"gene": "IFI27", "stance": "contradicts"}, {"gene": "IFITM3", "stance": "contradicts"}, {"gene": "HSPA1A", "stance": "contradicts"}], "rationale": "PLVAP (plasmalemma vesicle-associated protein) is a highly specific marker (logfc 1.996, 87.9% expression in-cluster vs 3.7% out) for fenestrated endothelium, characteristic of kidney glomerular capillaries. Supporting markers include TM4SF1 and CAVIN2 (endothelial cytoskeletal proteins), RAMP3 (endothelial receptor), and HLA genes reflecting MHC expression typical of endothelium. CD74 further supports endothelial identity. The contradicting markers (IFI27, IFITM3, HSPA1A) are interferon-stimulated and stress response genes, likely reflecting activated or inflammatory endothelium, but the endothelial identity is unambiguous."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'capillary endothelial cell' is not the name of CL:0002541 ('chorionic membrane mesenchymal stem cell'). 'capillary endothelial cell' is the name of CL:0002144 (capillary endothelial cell)."], "seconds": 11.0}], "model": "claude-haiku", "task_id": "ct-32f05dbab5"} +{"attempts": [{"codes": ["BEV004", "BEV017", "BEV025"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'Langerhans cell' is not the name of CL:0000906 ('activated CD8-positive, alpha-beta T cell'). 'Langerhans cell' is the name of CL:0000453 (Langerhans cell).", "rule_id": "BEV017", "where": "object label"}, {"message": "The ASCT+B reference lists HLA-DRA as a marker of CL:0000236 (B cell); CL:0000576 (monocyte); CL:0000875 (non-classical monocyte) and 2 more, cell types disjoint from CL:0000906.", "rule_id": "BEV025", "where": "evidence 1 (cluster=c04;gene=HLA-DRA)"}, {"message": "The ASCT+B reference lists FCER1A as a marker of CL:0001056 (dendritic cell, human), cell types disjoint from CL:0000906.", "rule_id": "BEV025", "where": "evidence 8 (cluster=c04;gene=FCER1A)"}, {"message": "The ASCT+B reference lists AIF1 as a marker of CL:0000235 (macrophage), cell types disjoint from CL:0000906.", "rule_id": "BEV025", "where": "evidence 10 (cluster=c04;gene=AIF1)"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000906", "cell_type_label": "Langerhans cell", "decision": "annotate", "markers": [{"gene": "HLA-DRA", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}, {"gene": "HLA-DPB1", "stance": "supports"}, {"gene": "HLA-DPA1", "stance": "supports"}, {"gene": "HLA-DQA1", "stance": "supports"}, {"gene": "HLA-DQB1", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "FCER1A", "stance": "supports"}, {"gene": "LYZ", "stance": "supports"}, {"gene": "AIF1", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "SAT1", "stance": "contradicts"}, {"gene": "CST3", "stance": "contradicts"}], "rationale": "The combination of high MHC class II expression (HLA-DR, HLA-DP, HLA-DQ genes), CD74 (the invariant chain required for MHC class II assembly), and FCER1A (high-affinity IgE receptor) strongly identifies Langerhans cells. These are antigen-presenting dendritic cells resident in skin epidermis. Additional myeloid markers (LYZ, AIF1, TYROBP) and immune signaling genes support this identification. SAT1 and CST3 show elevated expression but are ubiquitously expressed across cell types and are less specific. The skin tissue source and the specific combination of markers—particularly FCER1A with high HLA-DR/MHC class II expression—is characteristic of Langerhans cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 21.7}, {"answer": {"cell_type_id": "CL:0000453", "cell_type_label": "Langerhans cell", "decision": "annotate", "markers": [{"gene": "HLA-DRA", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}, {"gene": "HLA-DPB1", "stance": "supports"}, {"gene": "HLA-DPA1", "stance": "supports"}, {"gene": "HLA-DQA1", "stance": "supports"}, {"gene": "HLA-DQB1", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "FCER1A", "stance": "supports"}, {"gene": "LYZ", "stance": "supports"}, {"gene": "AIF1", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "SAT1", "stance": "contradicts"}, {"gene": "CST3", "stance": "contradicts"}], "rationale": "The combination of high MHC class II expression (HLA-DR, HLA-DP, HLA-DQ genes), CD74 (the invariant chain required for MHC class II assembly), and FCER1A (high-affinity IgE receptor) strongly identifies Langerhans cells. These are antigen-presenting dendritic cells resident in skin epidermis. Additional myeloid markers (LYZ, AIF1, TYROBP) and immune signaling genes support this identification. SAT1 and CST3 show elevated expression but are ubiquitously expressed across cell types and are less specific. The skin tissue source and the specific combination of markers—particularly FCER1A with high HLA-DR/MHC class II expression—is characteristic of Langerhans cells."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'Langerhans cell' is not the name of CL:0000906 ('activated CD8-positive, alpha-beta T cell'). 'Langerhans cell' is the name of CL:0000453 (Langerhans cell)."], "seconds": 12.8}], "model": "claude-haiku", "task_id": "ct-3385c5a4a1"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'acinar cell of pancreas' is not the name of CL:0000622 ('acinar cell'). 'acinar cell of pancreas' is the name of CL:0002064 (pancreatic acinar cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000622", "cell_type_label": "acinar cell of pancreas", "decision": "annotate", "markers": [{"gene": "REG1A", "stance": "supports"}, {"gene": "REG3A", "stance": "supports"}, {"gene": "REG1B", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "CTRB2", "stance": "supports"}, {"gene": "PRSS1", "stance": "supports"}, {"gene": "PNLIP", "stance": "supports"}, {"gene": "PLA2G1B", "stance": "supports"}, {"gene": "CPB1", "stance": "supports"}, {"gene": "CPA1", "stance": "supports"}, {"gene": "CPA2", "stance": "supports"}, {"gene": "CEL", "stance": "supports"}, {"gene": "CD24", "stance": "contradicts"}], "rationale": "The cluster expresses the complete set of pancreatic digestive enzymes: serine proteases (PRSS1, CTRB2, CPB1), carboxypeptidases (CPA1, CPA2), lipase (PNLIP), phospholipase (PLA2G1B), and elastase (CEL). These are all hallmarks of acinar cell secretory granules. REG1A/REG3A/REG1B (regenerating proteins) are classic pancreatic acinar cell markers involved in cell proliferation and survival. SPINK1 (serine protease inhibitor) is the pancreatic trypsin inhibitor, essential for preventing premature enzyme activation. CD24 is broadly expressed across the tissue (pct_out=0.893) and thus argues against acinar cell specificity, though it may be present in these cells as well."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 18.7}, {"answer": {"cell_type_id": "CL:0002064", "cell_type_label": "pancreatic acinar cell", "decision": "annotate", "markers": [{"gene": "REG1A", "stance": "supports"}, {"gene": "REG3A", "stance": "supports"}, {"gene": "REG1B", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "CTRB2", "stance": "supports"}, {"gene": "PRSS1", "stance": "supports"}, {"gene": "PNLIP", "stance": "supports"}, {"gene": "PLA2G1B", "stance": "supports"}, {"gene": "CPB1", "stance": "supports"}, {"gene": "CPA1", "stance": "supports"}, {"gene": "CPA2", "stance": "supports"}, {"gene": "CEL", "stance": "supports"}, {"gene": "CD24", "stance": "contradicts"}], "rationale": "The cluster expresses the complete set of pancreatic digestive enzymes: serine proteases (PRSS1, CTRB2, CPB1), carboxypeptidases (CPA1, CPA2), lipase (PNLIP), phospholipase (PLA2G1B), and elastase (CEL). These are all hallmarks of pancreatic acinar cell secretory granules. REG1A/REG3A/REG1B (regenerating proteins) are classic pancreatic acinar cell markers involved in cell proliferation and survival. SPINK1 (serine protease inhibitor Kazal type 1) is the pancreatic trypsin inhibitor, essential for preventing premature enzyme activation. CD24 is broadly expressed across the tissue (pct_out=0.893) and thus argues against pancreatic acinar cell specificity, though it may be present in these cells as well."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'acinar cell of pancreas' is not the name of CL:0000622 ('acinar cell'). 'acinar cell of pancreas' is the name of CL:0002064 (pancreatic acinar cell)."], "seconds": 13.6}], "model": "claude-haiku", "task_id": "ct-36d56001f7"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'collecting duct principal cell' is not the name of CL:0002191 ('granulocytopoietic cell'). Closest names: CL:1001431 (kidney collecting duct principal cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000454 (kidney collecting duct epithelial cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002191", "cell_type_label": "collecting duct principal cell", "decision": "annotate", "markers": [{"gene": "HSD11B2", "stance": "supports"}, {"gene": "CALB1", "stance": "supports"}, {"gene": "SLC4A1", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "RHCG", "stance": "contradicts"}, {"gene": "SPINK1", "stance": "contradicts"}], "rationale": "This cluster exhibits the characteristic marker gene profile of kidney collecting duct principal cells. HSD11B2 is a highly specific marker for these cells, involved in corticosteroid regulation in the cortical collecting duct. The co-expression of CALB1 (calbindin), SLC4A1, CA12, and ATP1B1 strongly supports principal cell identity, with these genes mediating calcium handling, anion transport, pH regulation, and sodium reabsorption respectively. The exceptionally high expression of mitochondrial genes reflects the high ATP demand of active ion transport in these cells. RHCG expression is atypical for principal cells (more characteristic of collecting duct intercalated cells) and SPINK1 is not a standard kidney marker, introducing minor contradictions in the profile."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 28.5}, {"answer": {"cell_type_id": "CL:1001431", "cell_type_label": "kidney collecting duct principal cell", "decision": "annotate", "markers": [{"gene": "HSD11B2", "stance": "supports"}, {"gene": "CALB1", "stance": "supports"}, {"gene": "SLC4A1", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "RHCG", "stance": "contradicts"}, {"gene": "SPINK1", "stance": "contradicts"}], "rationale": "This cluster exhibits the characteristic marker gene profile of kidney collecting duct principal cells. HSD11B2 is a highly specific marker for these cells, involved in corticosteroid regulation in the cortical collecting duct. The co-expression of CALB1 (calbindin), SLC4A1, CA12, and ATP1B1 strongly supports principal cell identity, with these genes mediating calcium handling, anion transport, pH regulation, and sodium reabsorption respectively. The exceptionally high expression of mitochondrial genes reflects the high ATP demand of active ion transport in these cells. RHCG expression is atypical for principal cells (more characteristic of collecting duct intercalated cells) and SPINK1 is not a standard kidney marker, introducing minor contradictions in the profile."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'collecting duct principal cell' is not the name of CL:0002191 ('granulocytopoietic cell'). Closest names: CL:1001431 (kidney collecting duct principal cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000454 (kidney collecting duct epithelial cell)."], "seconds": 13.2}], "model": "claude-haiku", "task_id": "ct-3cbc7c57fd"} +{"attempts": [{"codes": ["BEV004"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000625", "cell_type_label": "CD8-positive, alpha-beta T cell", "decision": "annotate", "markers": [{"gene": "CD3D", "stance": "supports"}, {"gene": "TRAC", "stance": "supports"}, {"gene": "CD52", "stance": "supports"}, {"gene": "NKG7", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "CXCR4", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "MALAT1", "stance": "contradicts"}, {"gene": "TMSB4X", "stance": "contradicts"}, {"gene": "RPS3", "stance": "contradicts"}, {"gene": "S100A4", "stance": "contradicts"}], "rationale": "The cluster is identified as CD8+ T cells based on strong expression of core T cell markers (CD3D, TRAC, CD52) combined with cytotoxic effector markers (NKG7, granzyme A). CD3D and TRAC are definitional for T cells; their high logfc values (1.68 and 1.46) and high pct_in (79.5% and 72.6%) confirm T cell identity. The presence of NKG7 and GZMA in the top 20 markers indicates cytotoxic function characteristic of CD8+ T cells or activated effector T cells. IL32, CCL5, and CXCR4 support T cell activation and trafficking. Housekeeping genes (MALAT1, TMSB4X, RPS3) are broadly expressed and don't support specific cell type identity; S100A4 is a general immune activation marker without T cell specificity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 25.2}], "model": "claude-haiku", "task_id": "ct-3f2898af5e"} +{"attempts": [{"codes": ["BEV004"], "evidence": 14, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000057", "cell_type_label": "fibroblast", "decision": "annotate", "markers": [{"gene": "COL1A1", "stance": "supports"}, {"gene": "COL1A2", "stance": "supports"}, {"gene": "COL3A1", "stance": "supports"}, {"gene": "COL6A2", "stance": "supports"}, {"gene": "DCN", "stance": "supports"}, {"gene": "LUM", "stance": "supports"}, {"gene": "FBLN1", "stance": "supports"}, {"gene": "GSN", "stance": "supports"}, {"gene": "MMP2", "stance": "supports"}, {"gene": "SFRP2", "stance": "supports"}, {"gene": "IGFBP5", "stance": "supports"}, {"gene": "SERPINF1", "stance": "supports"}, {"gene": "APOD", "stance": "supports"}, {"gene": "CTSK", "stance": "contradicts"}], "rationale": "The cluster shows the prototypical fibroblast signature: high expression of collagen genes (COL1A1, COL1A2, COL3A1, COL6A2) and extracellular matrix-associated proteins (DCN, LUM, FBLN1, GSN, SFRP2, IGFBP5, SERPINF1, APOD), plus MMP2 for ECM remodeling. This is consistent with dermal fibroblasts from skin. CTSK (cathepsin K) is atypical as it's primarily associated with osteoclasts and bone-resident cells, making it contradictory to fibroblast identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 22.1}], "model": "claude-haiku", "task_id": "ct-5e18af843a"} +{"attempts": [{"codes": ["BEV004"], "evidence": 10, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000169", "cell_type_label": "pancreatic beta cell", "decision": "annotate", "markers": [{"gene": "INS", "stance": "supports"}, {"gene": "IAPP", "stance": "supports"}, {"gene": "PDX1", "stance": "supports"}, {"gene": "PCSK1", "stance": "supports"}, {"gene": "ABCC8", "stance": "supports"}, {"gene": "G6PC2", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}, {"gene": "HADH", "stance": "supports"}, {"gene": "RBP4", "stance": "contradicts"}, {"gene": "UCHL1", "stance": "contradicts"}], "rationale": "This cluster is a pancreatic beta cell population. The top markers include the defining beta cell genes: INS (insulin), IAPP (islet amyloid polypeptide), and PDX1 (pancreatic transcription factor). Supporting markers include PCSK1 (prohormone convertase essential for insulin maturation), ABCC8 (ATP-sensitive K+ channel subunit critical for glucose-stimulated insulin secretion), G6PC2 (glucose sensor), SCGN (secretagogin, involved in insulin granule dynamics), and HADH (fatty acid oxidation in beta cells). RBP4 and UCHL1 are less typical of beta cells—RBP4 is more associated with hepatocytes and adipocytes, and UCHL1 is a known neuronal marker—suggesting possible technical artifact or biological heterogeneity, but the overwhelming consensus strongly indicates a beta cell cluster."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 18.9}], "model": "claude-haiku", "task_id": "ct-6ea69bcccb"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'enteroendocrine cell' is not the name of CL:0000150 ('glandular secretory epithelial cell'). 'enteroendocrine cell' is the name of CL:0000164 (enteroendocrine cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000150", "cell_type_label": "enteroendocrine cell", "decision": "annotate", "markers": [{"gene": "NEUROD1", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "FEV", "stance": "supports"}, {"gene": "INSM1", "stance": "supports"}, {"gene": "CPE", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}, {"gene": "SCT", "stance": "supports"}, {"gene": "MLN", "stance": "supports"}, {"gene": "MDK", "stance": "contradicts"}, {"gene": "SOX4", "stance": "contradicts"}], "rationale": "This cluster shows a strong neuroendocrine signature characteristic of enteroendocrine cells in the duodenum. Supporting markers include: NEUROD1 (essential transcription factor for endocrine differentiation with high specificity), chromogranins A and B (universal neuroendocrine markers), FEV (specific to enteroendocrine development), INSM1 (neuroendocrine differentiation factor), and secretogranins (SCG2, SCG5, SCGN) involved in peptide hormone granule formation. The presence of specific peptide hormones SCT (secretin, S cell marker) and MLN (motilin, Mo cell marker) further supports enteroendocrine identity. CPE is essential for neuropeptide processing. Contradicting markers include MDK, which is more typical of mesenchymal and immune cells (high pct_out: 0.708), and SOX4, a transcription factor more commonly associated with neural/mesenchymal differentiation rather than mature endocrine specification."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 26.0}, {"answer": {"cell_type_id": "CL:0000164", "cell_type_label": "enteroendocrine cell", "decision": "annotate", "markers": [{"gene": "NEUROD1", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "FEV", "stance": "supports"}, {"gene": "INSM1", "stance": "supports"}, {"gene": "CPE", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}, {"gene": "SCT", "stance": "supports"}, {"gene": "MLN", "stance": "supports"}, {"gene": "MDK", "stance": "contradicts"}, {"gene": "SOX4", "stance": "contradicts"}], "rationale": "This cluster shows a strong neuroendocrine signature characteristic of enteroendocrine cells in the duodenum. Supporting markers include: NEUROD1 (essential transcription factor for endocrine differentiation with high specificity), chromogranins A and B (universal neuroendocrine markers), FEV (specific to enteroendocrine development), INSM1 (neuroendocrine differentiation factor), and secretogranins (SCG2, SCG5, SCGN) involved in peptide hormone granule formation. The presence of specific peptide hormones SCT (secretin, S cell marker) and MLN (motilin, Mo cell marker) further supports enteroendocrine identity. CPE is essential for neuropeptide processing. Contradicting markers include MDK, which is more typical of mesenchymal and immune cells (high pct_out: 0.708), and SOX4, a transcription factor more commonly associated with neural/mesenchymal differentiation rather than mature endocrine specification."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'enteroendocrine cell' is not the name of CL:0000150 ('glandular secretory epithelial cell'). 'enteroendocrine cell' is the name of CL:0000164 (enteroendocrine cell)."], "seconds": 10.0}], "model": "claude-haiku", "task_id": "ct-76f0318d60"} +{"attempts": [{"codes": ["BEV025"], "evidence": 13, "findings": [{"message": "The ASCT+B reference lists FCER1G as a marker of CL:0000767 (basophil); CL:0000775 (neutrophil); CL:0000784 (plasmacytoid dendritic cell) and 5 more, cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 10 (cluster=c09;gene=FCER1G)"}, {"message": "The ASCT+B reference lists CCL3 as a marker of CL:4033041 (CCL3-positive alveolar macrophage), cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 11 (cluster=c09;gene=CCL3)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000623", "cell_type_label": "natural killer cell", "decision": "annotate", "markers": [{"gene": "NKG7", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "KLRD1", "stance": "supports"}, {"gene": "KLRF1", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "XCL2", "stance": "supports"}, {"gene": "IL2RB", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}, {"gene": "CCL3", "stance": "supports"}, {"gene": "CCL4", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}], "rationale": "The cluster is identified as natural killer cells based on high expression of canonical NK cell markers (NKG7, KLRB1, KLRD1, KLRF1), cytotoxic granule proteins (GZMA), NK signaling adapters (TYROBP/DAP12, HCST/DAP10, FCER1G), and NK-associated chemokines (CCL3, CCL4, CCL5). No contradictory markers are present in the top 20."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 25.7}], "model": "claude-haiku", "task_id": "ct-992627e517"} +{"attempts": [{"codes": ["BEV004", "BEV017", "BEV025"], "evidence": 9, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'T helper cell (Th2)' is not the name of CL:0000912 ('helper T cell'). Closest names: CL:0002061 (T-helper 9 cell); CL:0000546 (T-helper 2 cell); CL:0000545 (T-helper 1 cell).", "rule_id": "BEV017", "where": "object label"}, {"message": "The ASCT+B reference lists GATA3 as a marker of CL:1000454 (kidney collecting duct epithelial cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell) and 2 more, cell types disjoint from CL:0000912.", "rule_id": "BEV025", "where": "evidence 1 (cluster=c11;gene=GATA3)"}, {"message": "The ASCT+B reference lists HPGDS as a marker of CL:0002079 (pancreatic ductal cell), cell types disjoint from CL:0000912.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c11;gene=HPGDS)"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004", "BEV025"], "evidence": 9, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The ASCT+B reference lists GATA3 as a marker of CL:1000454 (kidney collecting duct epithelial cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell) and 2 more, cell types disjoint from CL:0000546.", "rule_id": "BEV025", "where": "evidence 1 (cluster=c11;gene=GATA3)"}, {"message": "The ASCT+B reference lists HPGDS as a marker of CL:0002079 (pancreatic ductal cell), cell types disjoint from CL:0000546.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c11;gene=HPGDS)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000912", "cell_type_label": "T helper cell (Th2)", "decision": "annotate", "markers": [{"gene": "GATA3", "stance": "supports"}, {"gene": "PTGDR2", "stance": "supports"}, {"gene": "HPGDS", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "TESPA1", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "IL10RA", "stance": "supports"}, {"gene": "KRT1", "stance": "contradicts"}], "rationale": "The cluster is dominated by GATA3 (Th2 master regulator) and PTGDR2/HPGDS (Th2-specific prostaglandin pathway), strongly indicating T helper cells with Th2 differentiation. Supporting markers include T cell surface proteins (TESPA1, KLRB1), T cell cytokines (IL32, LTB), and IL10RA consistent with Th2 IL-10 responsiveness. KRT1 (epithelial keratin) is anomalous and contradicts a pure lymphoid identity—likely represents contamination or measurement artifact. The overall signature is definitively helper T cell with Th2 polarization."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 32.1}, {"answer": {"cell_type_id": "CL:0000546", "cell_type_label": "T-helper 2 cell", "decision": "annotate", "markers": [{"gene": "GATA3", "stance": "supports"}, {"gene": "PTGDR2", "stance": "supports"}, {"gene": "HPGDS", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "TESPA1", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "IL10RA", "stance": "supports"}, {"gene": "KRT1", "stance": "contradicts"}], "rationale": "The cluster is dominated by GATA3 (Th2 master transcription factor) and PTGDR2/HPGDS (prostaglandin D2 pathway, highly specific to Th2 cells). Supporting markers include T cell surface proteins (TESPA1, KLRB1), T cell cytokines (IL32, LTB), and IL10RA consistent with Th2 IL-10 responsiveness. KRT1 (epithelial keratin) contradicts lymphoid identity and likely represents contamination or artifact. The signature is definitively Th2."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'T helper cell (Th2)' is not the name of CL:0000912 ('helper T cell'). Closest names: CL:0002061 (T-helper 9 cell); CL:0000546 (T-helper 2 cell); CL:0000545 (T-helper 1 cell)."], "seconds": 9.9}], "model": "claude-haiku", "task_id": "ct-a53a01a447"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'blood vessel endothelial cell' is not the name of CL:0000017 ('spermatocyte'). 'blood vessel endothelial cell' is the name of CL:0000071 (blood vessel endothelial cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000017", "cell_type_label": "blood vessel endothelial cell", "decision": "annotate", "markers": [{"gene": "AQP1", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "RAMP2", "stance": "supports"}, {"gene": "TIMP3", "stance": "supports"}, {"gene": "VIM", "stance": "supports"}, {"gene": "S100A4", "stance": "contradicts"}], "rationale": "Strong endothelial marker signature driven by canonical markers AQP1, TM4SF1, and RAMP2, with supporting evidence from TIMP3 (vascular remodeling) and VIM (mesenchymal lineage). S100A4 is more typical of fibroblasts but appears as minor marker. IFI27, IFITM3, and immediate early genes reflect endothelial activation state rather than contradicting identity. Kidney context consistent with peritubular or glomerular endothelium."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 24.5}, {"answer": {"cell_type_id": "CL:0000071", "cell_type_label": "blood vessel endothelial cell", "decision": "annotate", "markers": [{"gene": "AQP1", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "RAMP2", "stance": "supports"}, {"gene": "TIMP3", "stance": "supports"}, {"gene": "VIM", "stance": "contradicts"}, {"gene": "S100A4", "stance": "contradicts"}], "rationale": "Strong endothelial marker signature driven by canonical markers AQP1, TM4SF1, and RAMP2, with supporting TIMP3 (vascular remodeling). The interferon-stimulated genes (IFI27, IFITM3) and immediate early genes (JUNB, FOS, EGR1, ZFP36) reflect endothelial activation state consistent with inflammatory or wound-response context rather than contradicting the endothelial identity. VIM and S100A4 are mesenchymal markers more typical of fibroblasts, suggesting some heterogeneity or endothelial-mesenchymal transition, but the dominant signature is clearly endothelial. Kidney context is consistent with peritubular or glomerular capillary endothelium."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'blood vessel endothelial cell' is not the name of CL:0000017 ('spermatocyte'). 'blood vessel endothelial cell' is the name of CL:0000071 (blood vessel endothelial cell)."], "seconds": 12.9}], "model": "claude-haiku", "task_id": "ct-c22bc01239"} +{"attempts": [{"codes": ["BEV004"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000084", "cell_type_label": "T cell", "decision": "annotate", "markers": [{"gene": "CD3E", "stance": "supports"}, {"gene": "IL7R", "stance": "supports"}, {"gene": "CD52", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "TRDV2", "stance": "supports"}, {"gene": "NCR3", "stance": "contradicts"}, {"gene": "BLK", "stance": "contradicts"}], "rationale": "CD3E is expressed in 93.4% of cells in this cluster, making it diagnostic for T lymphocytes. IL7R is similarly highly expressed (96.4%), indicating IL-7-responsive T cells, typically naive or IL-7-dependent subsets. Additional support comes from CD52 and LTB, both T cell-associated markers. The presence of KLRB1 and TRDV2 suggests these may be innate-like T cells or gamma-delta T cells. However, NCR3 (NK marker) and BLK (B cell kinase) expression are contradictory and unusual in T cells, possibly indicating either a contaminating minor population or rare multipotent precursor features. The overwhelming signal from CD3E and IL7R confidently identifies this cluster as T cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 44.7}], "model": "claude-haiku", "task_id": "ct-c84f57496a"} +{"attempts": [], "calls": [{"answer": {"cell_type_id": "CL:1000010", "cell_type_label": "cycling/proliferating epithelial cell", "decision": "uncertain", "markers": [{"gene": "MKI67", "stance": "supports"}, {"gene": "TOP2A", "stance": "supports"}, {"gene": "TYMS", "stance": "supports"}, {"gene": "CDK1", "stance": "supports"}, {"gene": "NUSAP1", "stance": "supports"}, {"gene": "CENPF", "stance": "supports"}, {"gene": "UBE2C", "stance": "supports"}, {"gene": "SFTPA1", "stance": "contradicts"}, {"gene": "SFTPB", "stance": "contradicts"}, {"gene": "SFTPC", "stance": "contradicts"}], "rationale": "The cluster is dominated by S/G2/M phase markers (MKI67, TOP2A, CDK1, NUSAP1, CENPF) with extremely restricted expression outside the cluster, indicating active proliferation. However, the complete absence of surfactant genes (which would identify type II pneumocytes) and other lung cell-type-specific markers makes definitive cell type assignment uncertain. This could represent cycling pneumocytes, airway progenitors, or general proliferating epithelial cells. The proliferative state is unambiguous; the specific cell type is not."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 48.1}], "model": "claude-haiku", "task_id": "ct-c8e68f267e"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'collecting duct principal cell' is not the name of CL:0002251 ('epithelial cell of alimentary canal'). Closest names: CL:1001431 (kidney collecting duct principal cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000454 (kidney collecting duct epithelial cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002251", "cell_type_label": "collecting duct principal cell", "decision": "annotate", "markers": [{"gene": "DEFB1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "CALB1", "stance": "supports"}, {"gene": "KLK1", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "RHCG", "stance": "contradicts"}], "rationale": "Strong expression of DEFB1, HSD11B2, and KLK1—canonical principal cell markers—combined with high ATP1B1 (active transport) and CALB1 (calcium handling) clearly identifies collecting duct principal cells. RHCG's presence is somewhat contradictory as it preferentially marks intercalated cells, suggesting possible minor intercalated cell contribution or that cell-type boundaries are less distinct than the canonical assignments."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 26.2}, {"answer": {"cell_type_id": "CL:1001431", "cell_type_label": "kidney collecting duct principal cell", "decision": "annotate", "markers": [{"gene": "DEFB1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "CALB1", "stance": "supports"}, {"gene": "KLK1", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "RHCG", "stance": "contradicts"}], "rationale": "Strong expression of DEFB1, HSD11B2, and KLK1—canonical principal cell markers—combined with high ATP1B1 (active transport) and CALB1 (calcium handling) clearly identifies kidney collecting duct principal cells. RHCG's presence is contradictory as it preferentially marks intercalated cells, suggesting possible minor intercalated cell contribution or incomplete cell-type separation."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'collecting duct principal cell' is not the name of CL:0002251 ('epithelial cell of alimentary canal'). Closest names: CL:1001431 (kidney collecting duct principal cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000454 (kidney collecting duct epithelial cell)."], "seconds": 12.5}], "model": "claude-haiku", "task_id": "ct-e7cab67ae5"} +{"attempts": [{"codes": ["BEV017", "BEV025"], "evidence": 9, "findings": [{"message": "The label 'pancreatic duct cell' is not the name of CL:0002079 ('pancreatic ductal cell'). Closest names: CL:0002079 (pancreatic ductal cell); CL:0000173 (pancreatic D cell); CL:0000171 (pancreatic A cell).", "rule_id": "BEV017", "where": "object label"}, {"message": "The ASCT+B reference lists CD44 as a marker of CL:4033038 (lung resident memory CD4-positive, alpha-beta T cell), cell types disjoint from CL:0002079.", "rule_id": "BEV025", "where": "evidence 7 (cluster=c05;gene=CD44)"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV025"], "evidence": 9, "findings": [{"message": "The ASCT+B reference lists CD44 as a marker of CL:4033038 (lung resident memory CD4-positive, alpha-beta T cell), cell types disjoint from CL:0002079.", "rule_id": "BEV025", "where": "evidence 7 (cluster=c05;gene=CD44)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002079", "cell_type_label": "pancreatic duct cell", "decision": "annotate", "markers": [{"gene": "CFTR", "stance": "supports"}, {"gene": "SLC4A4", "stance": "supports"}, {"gene": "MMP7", "stance": "supports"}, {"gene": "TACSTD2", "stance": "supports"}, {"gene": "CD24", "stance": "supports"}, {"gene": "SPP1", "stance": "supports"}, {"gene": "CD44", "stance": "supports"}, {"gene": "ANXA2", "stance": "supports"}, {"gene": "ANXA4", "stance": "supports"}], "rationale": "The distinctive upregulation of CFTR (logfc 2.555) and SLC4A4 (logfc 1.977) in pancreatic tissue is diagnostic for ductal cells, which require these genes for bicarbonate-rich fluid secretion. Supporting markers include epithelial and ductal-specific genes (TACSTD2/EpCAM, MMP7, SPP1). Ubiquitously expressed genes (HLA-B, TMSB4X) and general cell adhesion markers (CD44, CD24) are consistent with but not diagnostic for ductal identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 22.6}, {"answer": {"cell_type_id": "CL:0002079", "cell_type_label": "pancreatic ductal cell", "decision": "annotate", "markers": [{"gene": "CFTR", "stance": "supports"}, {"gene": "SLC4A4", "stance": "supports"}, {"gene": "MMP7", "stance": "supports"}, {"gene": "TACSTD2", "stance": "supports"}, {"gene": "CD24", "stance": "supports"}, {"gene": "SPP1", "stance": "supports"}, {"gene": "CD44", "stance": "supports"}, {"gene": "ANXA2", "stance": "supports"}, {"gene": "ANXA4", "stance": "supports"}], "rationale": "The distinctive upregulation of CFTR (logfc 2.555) and SLC4A4 (logfc 1.977) in pancreatic tissue is diagnostic for ductal cells, which require these genes for bicarbonate-rich fluid secretion. Supporting markers include epithelial and ductal-specific genes (TACSTD2/EpCAM, MMP7, SPP1). Ubiquitously expressed genes (HLA-B, TMSB4X) and general cell adhesion markers (CD44, CD24) are consistent with but not diagnostic for ductal identity."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'pancreatic duct cell' is not the name of CL:0002079 ('pancreatic ductal cell'). Closest names: CL:0002079 (pancreatic ductal cell); CL:0000173 (pancreatic D cell); CL:0000171 (pancreatic A cell)."], "seconds": 8.9}], "model": "claude-haiku", "task_id": "ct-ee90c8cca6"} +{"attempts": [{"codes": [], "evidence": 20, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000182", "cell_type_label": "hepatocyte", "decision": "annotate", "markers": [{"gene": "ALB", "stance": "supports"}, {"gene": "APOC3", "stance": "supports"}, {"gene": "APOA2", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "APOC1", "stance": "supports"}, {"gene": "APOH", "stance": "supports"}, {"gene": "FGA", "stance": "supports"}, {"gene": "FGB", "stance": "supports"}, {"gene": "FGG", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "TF", "stance": "supports"}, {"gene": "HP", "stance": "supports"}, {"gene": "RBP4", "stance": "supports"}, {"gene": "AMBP", "stance": "supports"}, {"gene": "SERPINA1", "stance": "supports"}, {"gene": "ORM1", "stance": "supports"}, {"gene": "ORM2", "stance": "supports"}, {"gene": "CYP2E1", "stance": "supports"}, {"gene": "MT1G", "stance": "supports"}, {"gene": "MT1X", "stance": "supports"}], "rationale": "This cluster shows a dominant signature of serum/plasma proteins and hepatocyte-specific metabolic enzymes. The entire marker gene list consists of hepatocyte-specific products: major serum proteins (albumin, apolipoproteins, fibrinogen, transferrin, haptoglobin, alpha-1 antitrypsin), coagulation factors, transport proteins (retinol binding protein, transthyretin), and the hepatocyte-selective cytochrome P450 enzyme CYP2E1. The high expression and specificity of these markers (high pct_in, low pct_out for genes like TF, CYP2E1) is diagnostic of primary hepatocytes. No contradictory markers are present; all markers consistently support hepatocyte identity with no genes indicative of other liver cell types (cholangiocytes, stellate cells, immune cells, or endothelial cells)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 20.6}], "model": "claude-haiku", "task_id": "ct-fa6e0d282d"} +{"attempts": [{"codes": ["BEV004"], "evidence": 15, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:1000398", "cell_type_label": "endothelial cell of hepatic sinusoid", "decision": "annotate", "markers": [{"gene": "FCN3", "stance": "supports"}, {"gene": "FCN2", "stance": "supports"}, {"gene": "DNASE1L3", "stance": "supports"}, {"gene": "CRHBP", "stance": "supports"}, {"gene": "CCL14", "stance": "supports"}, {"gene": "LIFR", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "IGFBP7", "stance": "supports"}, {"gene": "HSPG2", "stance": "supports"}, {"gene": "ID1", "stance": "supports"}, {"gene": "ID3", "stance": "supports"}, {"gene": "IFI27", "stance": "supports"}, {"gene": "TFPI", "stance": "supports"}, {"gene": "CLDN5", "stance": "contradicts"}], "rationale": "Several general endothelial genes are high in this cluster: GNG11, TM4SF1, IGFBP7, HSPG2, ID1/ID3, TFPI and TIMP3. On top of that, it expresses the classic human liver sinusoidal endothelial (LSEC) genes FCN3, FCN2, DNASE1L3, CRHBP, CCL14 and LIFR, as described in human liver atlases. CLDN5 is the one weak point. It is higher in macrovascular, periportal and central-vein endothelium than in true sinusoidal cells, so the cluster may include some of those vascular endothelial cells. Still, the sinusoid-specific scavenger and lectin genes dominate, so hepatic sinusoidal endothelial cell is the best single label."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 12.4}], "model": "claude-opus", "task_id": "ct-04aaea9940"} +{"attempts": [{"codes": [], "evidence": 16, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:1000334", "cell_type_label": "enterocyte of epithelium of small intestine", "decision": "annotate", "markers": [{"gene": "ALDOB", "stance": "supports"}, {"gene": "APOA4", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "APOB", "stance": "supports"}, {"gene": "APOC3", "stance": "supports"}, {"gene": "FABP1", "stance": "supports"}, {"gene": "FABP2", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "SI", "stance": "supports"}, {"gene": "ANPEP", "stance": "supports"}, {"gene": "TMPRSS15", "stance": "supports"}, {"gene": "SLC5A1", "stance": "supports"}, {"gene": "CDHR5", "stance": "supports"}, {"gene": "SLC26A3", "stance": "supports"}, {"gene": "PRAP1", "stance": "supports"}, {"gene": "CES2", "stance": "supports"}], "rationale": "These are absorptive enterocytes of the small intestine. The cluster shows high levels of brush-border enzymes and transporters: SI (sucrase-isomaltase), ANPEP, TMPRSS15 (enteropeptidase, which is specific to the duodenum), SLC5A1 (SGLT1), SLC26A3 and the microvillus protein CDHR5. It also expresses the machinery for packaging dietary fat into chylomicrons (APOB, APOA4, APOA1, APOC3), the lipid-binding proteins FABP1 and FABP2, the retinol-binding protein RBP2 and the fructose-metabolism enzyme ALDOB. Together this is the profile of a mature small-intestinal enterocyte. None of the top genes argue against it. PIGR and PHGR1 are general epithelial genes that are expressed widely across the epithelium, so they do not help tell cell types apart."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 13.0}], "model": "claude-opus", "task_id": "ct-085bedbfa5"} +{"attempts": [{"codes": ["BEV004"], "evidence": 14, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002250", "cell_type_label": "intestinal crypt stem cell", "decision": "annotate", "markers": [{"gene": "OLFM4", "stance": "supports"}, {"gene": "SLC12A2", "stance": "supports"}, {"gene": "PPP1R1B", "stance": "supports"}, {"gene": "IGFBP2", "stance": "supports"}, {"gene": "HMGA1", "stance": "supports"}, {"gene": "RPS2", "stance": "supports"}, {"gene": "RPS3", "stance": "supports"}, {"gene": "PTMA", "stance": "supports"}, {"gene": "AGR2", "stance": "supports"}, {"gene": "KRT18", "stance": "supports"}, {"gene": "REG1A", "stance": "contradicts"}, {"gene": "REG3A", "stance": "contradicts"}, {"gene": "PIGR", "stance": "contradicts"}, {"gene": "DMBT1", "stance": "contradicts"}], "rationale": "The strongest evidence is the specific crypt stem cell markers OLFM4 (97% of cells in the cluster vs 31% outside) and SLC12A2 (93% vs 18%). PPP1R1B and IGFBP2, which are enriched in crypt base and progenitor cells, add to this. Undifferentiated cells show high HMGA1, PTMA and ribosomal protein genes (RPS2, RPS3), and these are all up here. KRT18 and AGR2 confirm the cells are epithelial. LGR5 and proliferation genes are not among the top markers, but LGR5 is often poorly detected with 10x 3' v2. High REG1A, REG3A, DMBT1, SPINK1 and PIGR point to some differentiation or antimicrobial crypt programmes, and may mean transit-amplifying or early progenitor cells are mixed in. They are also expressed widely outside the cluster, so they only weakly argue against this call. This is the general term. The small-intestine-specific CL term would be more precise, but I did not use it because I'm not sure of its exact ID."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 14.1}], "model": "claude-opus", "task_id": "ct-0f769ebe10"} +{"attempts": [{"codes": ["BEV004"], "evidence": 14, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000148", "cell_type_label": "melanocyte", "decision": "annotate", "markers": [{"gene": "DCT", "stance": "supports"}, {"gene": "TYRP1", "stance": "supports"}, {"gene": "MLANA", "stance": "supports"}, {"gene": "PMEL", "stance": "supports"}, {"gene": "MITF", "stance": "supports"}, {"gene": "CAPN3", "stance": "supports"}, {"gene": "GPNMB", "stance": "supports"}, {"gene": "SNCA", "stance": "supports"}, {"gene": "QPCT", "stance": "supports"}, {"gene": "CD63", "stance": "supports"}, {"gene": "PLP1", "stance": "supports"}, {"gene": "GPM6B", "stance": "supports"}, {"gene": "KRT14", "stance": "contradicts"}, {"gene": "S100A2", "stance": "contradicts"}], "rationale": "The melanin-synthesis and melanosome genes are expressed in 78–92% of the cluster's cells and almost nowhere else (about 2–3% of other cells). These are DCT, TYRP1, MLANA and PMEL, together with MITF, the master regulator of melanocytes, and the melanocyte-enriched genes CAPN3, GPNMB, SNCA and QPCT. That pattern marks these cells as epidermal melanocytes. PLP1, GPM6B and NSG1 are neural-crest/glial-type genes that skin melanocytes commonly express, so they fit a neural-crest origin. Schwann cells can't be ruled out completely, but they would not express the pigmentation genes. KRT14 and S100A2 are keratinocyte genes, and they are also common in other cells (pct_out 0.69 and 0.50). They most likely come from ambient RNA or melanocyte–keratinocyte doublets, not from the melanocytes themselves."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 12.1}], "model": "claude-opus", "task_id": "ct-1445edf08f"} +{"attempts": [{"codes": ["BEV004", "BEV025"], "evidence": 18, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The ASCT+B reference lists MT1E as a marker of CL:4033042 (metallothionein-positive alveolar macrophage), cell types disjoint from CL:1000334.", "rule_id": "BEV025", "where": "evidence 9 (cluster=c09;gene=MT1E)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:1000334", "cell_type_label": "enterocyte of epithelium of small intestine", "decision": "annotate", "markers": [{"gene": "RBP2", "stance": "supports"}, {"gene": "FABP1", "stance": "supports"}, {"gene": "GSTA1", "stance": "supports"}, {"gene": "CCL25", "stance": "supports"}, {"gene": "LGALS4", "stance": "supports"}, {"gene": "CPS1", "stance": "supports"}, {"gene": "PIGR", "stance": "supports"}, {"gene": "MT1G", "stance": "supports"}, {"gene": "MT1E", "stance": "supports"}, {"gene": "MT1X", "stance": "supports"}, {"gene": "MT2A", "stance": "supports"}, {"gene": "EPCAM", "stance": "supports"}, {"gene": "KRT8", "stance": "supports"}, {"gene": "KRT19", "stance": "supports"}, {"gene": "KRT18", "stance": "supports"}, {"gene": "REG1A", "stance": "contradicts"}, {"gene": "DMBT1", "stance": "contradicts"}, {"gene": "AGR2", "stance": "contradicts"}], "rationale": "This is small-intestinal epithelium, as shown by EPCAM, KRT8, KRT18, KRT19 and LGALS4. The enterocyte absorptive/metabolic program is present: RBP2, FABP1, GSTA1 and CPS1. CCL25 is specific to small-intestinal enterocytes, and PIGR plus the metallothioneins (MT1G, MT1E, MT1X, MT2A) fit enterocytes. REG1A, DMBT1 and AGR2 point toward a crypt-proximal, immature or secretory-like state, possibly reflecting duodenal/Brunner's gland context. They argue mildly against fully mature villus enterocytes. Mature brush-border markers (APOA4, APOB, ALPI) are not among the top genes. The best-fitting term is small-intestinal enterocyte, probably an early or immature one."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 14.9}], "model": "claude-opus", "task_id": "ct-1fed4d68f2"} +{"attempts": [{"codes": ["BEV004"], "evidence": 12, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000359", "cell_type_label": "vascular associated smooth muscle cell", "decision": "annotate", "markers": [{"gene": "TAGLN", "stance": "supports"}, {"gene": "MYL9", "stance": "supports"}, {"gene": "ACTA2", "stance": "supports"}, {"gene": "TPM2", "stance": "supports"}, {"gene": "CALD1", "stance": "supports"}, {"gene": "MYH11", "stance": "supports"}, {"gene": "ADIRF", "stance": "supports"}, {"gene": "C11orf96", "stance": "supports"}, {"gene": "CRISPLD2", "stance": "supports"}, {"gene": "ID4", "stance": "supports"}, {"gene": "RGS5", "stance": "contradicts"}, {"gene": "IGFBP7", "stance": "supports"}], "rationale": "These are clearly mural (perivascular contractile) cells. The contractile genes TAGLN, MYL9, ACTA2, TPM2 and CALD1 are strongly enriched, and most cells in the cluster express them. MYH11 is a fairly specific smooth muscle marker, and it is found in 56% of cells here versus 3% elsewhere, which points to vascular smooth muscle rather than pure pericytes. RGS5 and IGFBP7 are also present, and together with MYH11 these suggest the cells sit along blood vessels, as opposed to the arrector pili muscle. However, RGS5 is a pericyte marker, found in about half the cells. That means the cluster likely includes some pericytes, so pericyte (CL:0000669) is the main alternative. I chose vascular smooth muscle because MYH11 and ACTA2 are strong and RGS5 is only moderate. CCL2, IL6 and GADD45B suggest the cells were activated or stressed, possibly during tissue dissociation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 17.2}], "model": "claude-opus", "task_id": "ct-22fc152fbd"} +{"attempts": [{"codes": ["BEV025"], "evidence": 14, "findings": [{"message": "The ASCT+B reference lists AQP3 as a marker of CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell); CL:1001431 (kidney collecting duct principal cell) and 1 more, cell types disjoint from CL:0001071.", "rule_id": "BEV025", "where": "evidence 13 (cluster=c13;gene=AQP3)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0001071", "cell_type_label": "group 3 innate lymphoid cell", "decision": "annotate", "markers": [{"gene": "RORC", "stance": "supports"}, {"gene": "KIT", "stance": "supports"}, {"gene": "IL7R", "stance": "supports"}, {"gene": "LST1", "stance": "supports"}, {"gene": "IL4I1", "stance": "supports"}, {"gene": "TOX2", "stance": "supports"}, {"gene": "HPN", "stance": "supports"}, {"gene": "SCN1B", "stance": "supports"}, {"gene": "LINC00299", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "LTA", "stance": "supports"}, {"gene": "ZBTB16", "stance": "supports"}, {"gene": "AQP3", "stance": "supports"}, {"gene": "IGFBP4", "stance": "supports"}], "rationale": "RORC with KIT and IL7R is the defining ILC3 phenotype. LST1, IL4I1, TOX2, HPN, SCN1B and LINC00299 are well-known human ILC3 signature genes, and HPN and SCN1B are nearly absent from other cells. Lymphotoxin (LTA/LTB) fits LTi-like ILC3. ILC2 markers (GATA3, KLRG1, PTGDR2), T-cell receptor/CD3 genes and cytotoxic NK genes are missing. No marker clearly contradicts ILC3; HSPB1, ITGB1, CD52 and SLA are broadly expressed and not specific."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 16.1}], "model": "claude-opus", "task_id": "ct-307f739343"} +{"attempts": [{"codes": [], "evidence": 16, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000171", "cell_type_label": "pancreatic A cell", "decision": "annotate", "markers": [{"gene": "GCG", "stance": "supports"}, {"gene": "IRX2", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "GC", "stance": "supports"}, {"gene": "TM4SF4", "stance": "supports"}, {"gene": "LOXL4", "stance": "supports"}, {"gene": "PCSK2", "stance": "supports"}, {"gene": "RGS4", "stance": "supports"}, {"gene": "KCTD12", "stance": "supports"}, {"gene": "SLC7A2", "stance": "supports"}, {"gene": "ALDH1A1", "stance": "supports"}, {"gene": "TMEM176B", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}], "rationale": "GCG is the top marker by a wide margin (logFC 5.1). Its detection outside the cluster is probably background RNA contamination common in CEL-seq2 pancreas data. IRX2 (98% inside vs 11% outside) and LOXL4 are highly alpha-specific. TTR, GC, TM4SF4, RGS4, KCTD12, SLC7A2, ALDH1A1 and TMEM176B are known alpha-cell-enriched genes in human islets. PCSK2 processes proglucagon into glucagon. The chromogranins and secretogranins confirm the cells are endocrine. No beta (INS, IAPP), delta (SST), PP (PPY) or exocrine markers are among the top genes, so this is a pancreatic A (alpha) cell."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 15.1}], "model": "claude-opus", "task_id": "ct-32e6a3a16d"} +{"attempts": [{"codes": ["BEV004"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:1000892", "cell_type_label": "kidney capillary endothelial cell", "decision": "annotate", "markers": [{"gene": "PLVAP", "stance": "supports"}, {"gene": "CAVIN2", "stance": "supports"}, {"gene": "RAMP3", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "IFI27", "stance": "supports"}, {"gene": "RNASE1", "stance": "supports"}, {"gene": "IGFBP5", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "RGCC", "stance": "supports"}, {"gene": "TIMP3", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}, {"gene": "HSPA1A", "stance": "contradicts"}], "rationale": "This cluster matches endothelial cells. PLVAP is nearly specific to the cluster (pct_in 0.88 vs pct_out 0.04). Other endothelial genes are also high: CAVIN2, RAMP3, GNG11, TM4SF1, RGCC, IFI27 and RNASE1. PLVAP marks fenestrated endothelium, which fits the kidney's peritubular or vasa recta capillaries better than glomerular endothelium. RGCC and IGFBP5 further suggest capillaries. CD74 and HLA class II genes are commonly expressed by human microvascular endothelium. HSPA1A, JUNB and SOCS3 look like a stress response from tissue dissociation, not a cell-identity signal. I could not check the CL identifier and term name from memory. If the vascular bed is uncertain, the broader \"endothelial cell\" (CL:0000115) is a safe fallback."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 14.1}], "model": "claude-opus", "task_id": "ct-32f05dbab5"} +{"attempts": [{"codes": ["BEV004"], "evidence": 14, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000451", "cell_type_label": "dendritic cell", "decision": "annotate", "markers": [{"gene": "HLA-DRA", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "HLA-DQA1", "stance": "supports"}, {"gene": "HLA-DQB1", "stance": "supports"}, {"gene": "HLA-DPB1", "stance": "supports"}, {"gene": "FCER1A", "stance": "supports"}, {"gene": "GPR183", "stance": "supports"}, {"gene": "CST3", "stance": "supports"}, {"gene": "LYZ", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}, {"gene": "AIF1", "stance": "supports"}, {"gene": "CXCL8", "stance": "contradicts"}, {"gene": "G0S2", "stance": "contradicts"}], "rationale": "This is a myeloid antigen-presenting cell. It shows very high MHC class II expression (HLA-DR, -DP and -DQ, plus CD74) and the pan-myeloid genes TYROBP, FCER1G, AIF1 and LYZ. High CST3 together with FCER1A and GPR183 points most to conventional dendritic cells, most likely the cDC2 subtype, in dermis. Skin Langerhans markers (CD207, CD1A) are not among the top genes, so the broader term \"dendritic cell\" is used. CXCL8, G0S2 and LYZ suggest some monocyte-derived or inflammatory activation, so a mixture with mono-derived DCs or macrophages can't be ruled out."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 13.8}], "model": "claude-opus", "task_id": "ct-3385c5a4a1"} +{"attempts": [{"codes": ["BEV004"], "evidence": 18, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002064", "cell_type_label": "pancreatic acinar cell", "decision": "annotate", "markers": [{"gene": "PRSS1", "stance": "supports"}, {"gene": "CTRB2", "stance": "supports"}, {"gene": "PNLIP", "stance": "supports"}, {"gene": "PLA2G1B", "stance": "supports"}, {"gene": "CPA1", "stance": "supports"}, {"gene": "CPA2", "stance": "supports"}, {"gene": "CPB1", "stance": "supports"}, {"gene": "CEL", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "REG1B", "stance": "supports"}, {"gene": "REG3A", "stance": "supports"}, {"gene": "GSTA2", "stance": "supports"}, {"gene": "ALDOB", "stance": "supports"}, {"gene": "OLFM4", "stance": "contradicts"}, {"gene": "DUOX2", "stance": "contradicts"}, {"gene": "SERPINA3", "stance": "contradicts"}, {"gene": "CFB", "stance": "contradicts"}], "rationale": "The cluster is dominated by acinar digestive enzymes (PRSS1, CTRB2, PNLIP, PLA2G1B, CPA1/2, CPB1, CEL), each expressed in about 99-100% of its cells and strongly enriched against other cells. SPINK1 and the REG family are also strongly up. Ductal or inflammatory genes (OLFM4, DUOX2, SERPINA3, CFB, CD24) suggest some acinar-ductal or inflammatory character, but they are secondary. The widespread REG and enzyme expression in other cells probably reflects ambient RNA in CEL-seq2 data."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 16.9}], "model": "claude-opus", "task_id": "ct-36d56001f7"} +{"attempts": [{"codes": ["BEV004"], "evidence": 11, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0005011", "cell_type_label": "renal alpha-intercalated cell", "decision": "annotate", "markers": [{"gene": "SLC4A1", "stance": "supports"}, {"gene": "SLC26A7", "stance": "supports"}, {"gene": "ATP6V0D2", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "TMEM213", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "CALB1", "stance": "contradicts"}, {"gene": "HSD11B2", "stance": "contradicts"}, {"gene": "SPINK1", "stance": "contradicts"}], "rationale": "SLC4A1 (AE1; 93% in vs 8% out), SLC26A7 and ATP6V0D2 (V-ATPase) together are the defining signature of type A intercalated cells. RHCG and TMEM213 are shared intercalated-cell markers, and DEFB1, CA12 and ATP1B1 fit distal nephron/collecting duct cells. CALB1, HSD11B2 and SPINK1 are more typical of principal or connecting-tubule cells and probably reflect ambient RNA or connecting-tubule intercalated cells. Type B markers (SLC26A4, SLC4A9) are absent. Mitochondrial genes and MALAT1 are uninformative."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 15.5}], "model": "claude-opus", "task_id": "ct-3cbc7c57fd"} +{"attempts": [{"codes": [], "evidence": 11, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000084", "cell_type_label": "T cell", "decision": "annotate", "markers": [{"gene": "CD3D", "stance": "supports"}, {"gene": "TRAC", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}, {"gene": "NKG7", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "S100A4", "stance": "supports"}, {"gene": "CXCR4", "stance": "supports"}, {"gene": "CORO1A", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "CD52", "stance": "supports"}], "rationale": "CD3D (79% of cells in the cluster vs 3% elsewhere) and TRAC (73% vs 4%) are highly specific to T cells, and TRAC points to alpha-beta T cells. IL32, CORO1A, CXCR4 and CD52 fit lymphocytes. CCL5, NKG7 and GZMA suggest a cytotoxic effector-memory state, which is common among T cells resident in the liver. CD8A/B and CD4 are not in the top markers, and NKG7/GZMA could come from some NK cells mixed into the cluster. So I chose the broad term \"T cell\" rather than a specific subset. No markers argue against it."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 13.7}], "model": "claude-opus", "task_id": "ct-3f2898af5e"} +{"attempts": [{"codes": [], "evidence": 16, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002620", "cell_type_label": "skin fibroblast", "decision": "annotate", "markers": [{"gene": "DCN", "stance": "supports"}, {"gene": "LUM", "stance": "supports"}, {"gene": "COL1A1", "stance": "supports"}, {"gene": "COL1A2", "stance": "supports"}, {"gene": "COL3A1", "stance": "supports"}, {"gene": "COL6A2", "stance": "supports"}, {"gene": "FBLN1", "stance": "supports"}, {"gene": "MMP2", "stance": "supports"}, {"gene": "SFRP2", "stance": "supports"}, {"gene": "CTSK", "stance": "supports"}, {"gene": "CFD", "stance": "supports"}, {"gene": "APOD", "stance": "supports"}, {"gene": "CCDC80", "stance": "supports"}, {"gene": "PLAC9", "stance": "supports"}, {"gene": "SERPINF1", "stance": "supports"}, {"gene": "CXCL14", "stance": "supports"}], "rationale": "The top markers are fibroblast extracellular-matrix genes: DCN, LUM, the collagens COL1A1, COL1A2, COL3A1 and COL6A2, FBLN1 and CCDC80. They come with genes typical of dermal fibroblasts: MMP2, CTSK, SFRP2, CFD, APOD, CXCL14, SOD3, PLAC9 and SERPINF1. Because the tissue is skin, the matching term is skin fibroblast. No keratinocyte, endothelial, immune or mural-cell markers are present. CEBPB is a general transcription factor and does not point to a specific cell type."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 13.5}], "model": "claude-opus", "task_id": "ct-5e18af843a"} +{"attempts": [{"codes": [], "evidence": 13, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000169", "cell_type_label": "type B pancreatic cell", "decision": "annotate", "markers": [{"gene": "INS", "stance": "supports"}, {"gene": "IAPP", "stance": "supports"}, {"gene": "MAFA", "stance": "supports"}, {"gene": "PDX1", "stance": "supports"}, {"gene": "ADCYAP1", "stance": "supports"}, {"gene": "NPTX2", "stance": "supports"}, {"gene": "HADH", "stance": "supports"}, {"gene": "G6PC2", "stance": "supports"}, {"gene": "PCSK1", "stance": "supports"}, {"gene": "MEG3", "stance": "supports"}, {"gene": "SYT13", "stance": "supports"}, {"gene": "ABCC8", "stance": "supports"}, {"gene": "RBP4", "stance": "supports"}], "rationale": "INS and IAPP are the top markers. MAFA, ADCYAP1 and NPTX2 are strongly specific to this cluster (pct_out 0.09–0.29). PDX1, HADH, G6PC2, PCSK1, MEG3 and SYT13 are typical of human beta cells. No markers for other cell types (GCG, SST, PPY, or exocrine genes) are enriched. The high pct_out for INS is expected because ambient hormone transcripts are common in CEL-seq2 islet data. Nothing in the list argues against beta cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 10.8}], "model": "claude-opus", "task_id": "ct-6ea69bcccb"} +{"attempts": [{"codes": [], "evidence": 13, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000164", "cell_type_label": "enteroendocrine cell", "decision": "annotate", "markers": [{"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "PCSK1N", "stance": "supports"}, {"gene": "NEUROD1", "stance": "supports"}, {"gene": "INSM1", "stance": "supports"}, {"gene": "FEV", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "CPE", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}, {"gene": "HEPACAM2", "stance": "supports"}, {"gene": "SCT", "stance": "supports"}, {"gene": "MLN", "stance": "supports"}], "rationale": "Strong, specific expression of general neuroendocrine and secretory-granule genes (CHGA, CHGB, PCSK1N, SCG2, SCG5, CPE, SCGN) and of the enteroendocrine lineage transcription factors NEUROD1, INSM1 and FEV identifies enteroendocrine cells. The duodenal hormones SCT (secretin) and MLN (motilin) are both present, along with FEV, so the cluster is a mix of enteroendocrine subtypes. MLN is also only partly specific. For these reasons the broad enteroendocrine cell term is used instead of a single subtype."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 13.9}], "model": "claude-opus", "task_id": "ct-76f0318d60"} +{"attempts": [{"codes": ["BEV025"], "evidence": 15, "findings": [{"message": "The ASCT+B reference lists FCER1G as a marker of CL:0000767 (basophil); CL:0000775 (neutrophil); CL:0000784 (plasmacytoid dendritic cell) and 5 more, cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 7 (cluster=c09;gene=FCER1G)"}, {"message": "The ASCT+B reference lists CCL3 as a marker of CL:4033041 (CCL3-positive alveolar macrophage), cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 11 (cluster=c09;gene=CCL3)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000623", "cell_type_label": "natural killer cell", "decision": "annotate", "markers": [{"gene": "KLRF1", "stance": "supports"}, {"gene": "KLRD1", "stance": "supports"}, {"gene": "NKG7", "stance": "supports"}, {"gene": "XCL2", "stance": "supports"}, {"gene": "IL2RB", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "CCL4", "stance": "supports"}, {"gene": "CCL3", "stance": "supports"}, {"gene": "CD7", "stance": "supports"}, {"gene": "CMC1", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}], "rationale": "Core NK genes are expressed: KLRF1, KLRD1, NKG7 and IL2RB, with the adaptors TYROBP, FCER1G and HCST, and the cytotoxic/chemokine genes GZMA, CCL3, CCL4, CCL5 and XCL2. KLRF1, XCL2 and IL2RB are highly specific to this cluster. No T-cell genes (CD3, TRAC) appear among the top markers, which favours NK cells over T, MAIT or NKT cells. Strong KLRB1 and XCL2 suggest liver-resident CD56-bright NK cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 15.0}], "model": "claude-opus", "task_id": "ct-992627e517"} +{"attempts": [{"codes": ["BEV017", "BEV025"], "evidence": 10, "findings": [{"message": "The label 'group 2 innate lymphoid cell' is not the name of CL:0001081 ('group 2 innate lymphoid cell, human'). 'group 2 innate lymphoid cell' is the name of CL:0001069 (group 2 innate lymphoid cell).", "rule_id": "BEV017", "where": "object label"}, {"message": "The ASCT+B reference lists HPGDS as a marker of CL:0002079 (pancreatic ductal cell), cell types disjoint from CL:0001081.", "rule_id": "BEV025", "where": "evidence 1 (cluster=c11;gene=HPGDS)"}, {"message": "The ASCT+B reference lists GATA3 as a marker of CL:1000454 (kidney collecting duct epithelial cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell) and 2 more, cell types disjoint from CL:0001081.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c11;gene=GATA3)"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV025"], "evidence": 10, "findings": [{"message": "The ASCT+B reference lists HPGDS as a marker of CL:0002079 (pancreatic ductal cell), cell types disjoint from CL:0001081.", "rule_id": "BEV025", "where": "evidence 1 (cluster=c11;gene=HPGDS)"}, {"message": "The ASCT+B reference lists GATA3 as a marker of CL:1000454 (kidney collecting duct epithelial cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell) and 2 more, cell types disjoint from CL:0001081.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c11;gene=GATA3)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0001081", "cell_type_label": "group 2 innate lymphoid cell", "decision": "annotate", "markers": [{"gene": "HPGDS", "stance": "supports"}, {"gene": "PTGDR2", "stance": "supports"}, {"gene": "GATA3", "stance": "supports"}, {"gene": "KRT1", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "TESPA1", "stance": "supports"}, {"gene": "IL10RA", "stance": "supports"}, {"gene": "SAMSN1", "stance": "supports"}], "rationale": "HPGDS and PTGDR2 (CRTH2) are highly specific to this cluster (pct_out about 0.01), together with GATA3 and KRT1. This is the canonical ILC2 signature. KLRB1, IL32, LTB and TESPA1 fit a lymphocyte identity. T-cell genes (CD3, TRBC, CD4) are not among the top markers, which favours ILC2 over PTGDR2+ Th2 cells, although Th2 remains the main alternative."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 16.1}, {"answer": {"cell_type_id": "CL:0001081", "cell_type_label": "group 2 innate lymphoid cell, human", "decision": "annotate", "markers": [{"gene": "HPGDS", "stance": "supports"}, {"gene": "PTGDR2", "stance": "supports"}, {"gene": "GATA3", "stance": "supports"}, {"gene": "KRT1", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "TESPA1", "stance": "supports"}, {"gene": "IL10RA", "stance": "supports"}, {"gene": "SAMSN1", "stance": "supports"}], "rationale": "HPGDS and PTGDR2 (CRTH2) are almost unique to this cluster (pct_out about 0.01). Together with GATA3 and KRT1, they form the canonical signature of human ILC2s. KLRB1 (CD161), IL32, LTB and TESPA1 fit a lymphocyte identity. T-cell genes (CD3, TRBC, CD4) are not among the top markers, which favours ILC2 over PTGDR2+ Th2 cells, although Th2 cells remain the main alternative. The dataset is human, so I used the human-specific term CL:0001081 ('group 2 innate lymphoid cell, human'). Its parent term is CL:0001069."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'group 2 innate lymphoid cell' is not the name of CL:0001081 ('group 2 innate lymphoid cell, human'). 'group 2 innate lymphoid cell' is the name of CL:0001069 (group 2 innate lymphoid cell)."], "seconds": 11.5}], "model": "claude-opus", "task_id": "ct-a53a01a447"} +{"attempts": [{"codes": [], "evidence": 12, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000115", "cell_type_label": "endothelial cell", "decision": "annotate", "markers": [{"gene": "RAMP2", "stance": "supports"}, {"gene": "AQP1", "stance": "supports"}, {"gene": "IFI27", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "NHERF2", "stance": "supports"}, {"gene": "ID1", "stance": "supports"}, {"gene": "TIMP3", "stance": "supports"}, {"gene": "IFITM3", "stance": "supports"}, {"gene": "HLA-B", "stance": "supports"}, {"gene": "VIM", "stance": "supports"}, {"gene": "S100A6", "stance": "supports"}, {"gene": "GSN", "stance": "supports"}], "rationale": "RAMP2, NHERF2 (SLC9A3R2), TM4SF1, IFI27, ID1, TIMP3 and AQP1 together form a typical kidney endothelial signature. The combination of AQP1 with endothelial genes points to peritubular capillaries or descending vasa recta. VIM, S100A6 and high HLA-B fit a mesenchymal-like vascular cell rather than tubular epithelium. The immediate-early genes (FOS, JUNB, EGR1, ZFP36) are probably a stress response from dissociation. Classic pan-endothelial genes such as PECAM1, VWF, EMCN and PLVAP are not in the top 20, so I am annotating at the general endothelial cell level instead of a specific kidney vascular subtype."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 12.7}], "model": "claude-opus", "task_id": "ct-c22bc01239"} +{"attempts": [{"codes": ["BEV004"], "evidence": 12, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000940", "cell_type_label": "mucosal invariant T cell", "decision": "annotate", "markers": [{"gene": "KLRB1", "stance": "supports"}, {"gene": "CCR6", "stance": "supports"}, {"gene": "IL7R", "stance": "supports"}, {"gene": "NCR3", "stance": "supports"}, {"gene": "CD3E", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "S100A4", "stance": "supports"}, {"gene": "ANXA1", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "TRDV2", "stance": "contradicts"}, {"gene": "BLK", "stance": "contradicts"}, {"gene": "LST1", "stance": "contradicts"}], "rationale": "These are T cells (CD3E, IL32) with a type-17, innate-like memory profile: KLRB1/CD161, CCR6, IL7R, NCR3, LTB, plus the memory/tissue genes S100A4, S100A6, ANXA1 and AQP3. That fits MAIT cells best. However, TRDV2 (35% in the cluster vs 4% elsewhere) and BLK point to Vd2/IL-17-type gamma-delta T cells mixed in, and LST1 hints at ILC3-like cells. The defining MAIT genes (TRAV1-2, SLC4A10, ZBTB16) are not among the top markers, so this may be a mixed innate-like type-17 T-cell cluster. Confidence is moderate."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 24.0}], "model": "claude-opus", "task_id": "ct-c84f57496a"} +{"attempts": [], "calls": [{"answer": {"cell_type_id": "CL:0000000", "cell_type_label": "cell (proliferating/cycling cell of undetermined lineage)", "decision": "uncertain", "markers": [{"gene": "MKI67", "stance": "supports"}, {"gene": "TOP2A", "stance": "supports"}, {"gene": "UBE2C", "stance": "supports"}, {"gene": "NUSAP1", "stance": "supports"}, {"gene": "CENPF", "stance": "supports"}, {"gene": "CDK1", "stance": "supports"}, {"gene": "TYMS", "stance": "supports"}, {"gene": "STMN1", "stance": "supports"}, {"gene": "HMGB2", "stance": "supports"}, {"gene": "H4C3", "stance": "supports"}, {"gene": "VIM", "stance": "supports"}], "rationale": "Every top marker belongs to the cell-cycle/proliferation program (MKI67, TOP2A, UBE2C, NUSAP1, CENPF, CDK1, TYMS, histones, tubulins, STMN1, HMGB2). There are no lineage markers (no PTPRC, CD3E, NKG7, CD68, EPCAM, SFTPC, PECAM1 or COL1A2). VIM suggests a non-epithelial identity, possibly immune or stromal, but it is not specific enough. The cells are clearly cycling, but their type can't be determined from these markers. In lung, such clusters are often proliferating T/NK cells or macrophages."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 19.1}], "model": "claude-opus", "task_id": "ct-c8e68f267e"} +{"attempts": [{"codes": [], "evidence": 7, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:1000768", "cell_type_label": "kidney connecting tubule epithelial cell", "decision": "annotate", "markers": [{"gene": "CALB1", "stance": "supports"}, {"gene": "KLK1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "TMEM52B", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}], "rationale": "CALB1 and KLK1 are highly specific (pct_out 0.064 and 0.041) and together define the connecting tubule; KLK1 is produced mainly by connecting tubule cells. HSD11B2 (aldosterone-sensitive distal nephron), DEFB1, TMEM52B, ATP1B1 and RHCG fit distal nephron epithelium. No DCT markers (SLC12A3, PVALB) or principal cell marker (AQP2) are among the top genes, so connecting tubule fits better than DCT2 or collecting duct, though some overlap with neighbouring cells is possible. GDF15, S100A2 and TNFRSF12A suggest a stress response, and the MT- genes and MALAT1 reflect cell quality rather than identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 16.7}], "model": "claude-opus", "task_id": "ct-e7cab67ae5"} +{"attempts": [{"codes": ["BEV025"], "evidence": 12, "findings": [{"message": "The ASCT+B reference lists CD44 as a marker of CL:4033038 (lung resident memory CD4-positive, alpha-beta T cell), cell types disjoint from CL:0002079.", "rule_id": "BEV025", "where": "evidence 8 (cluster=c05;gene=CD44)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002079", "cell_type_label": "pancreatic ductal cell", "decision": "annotate", "markers": [{"gene": "CFTR", "stance": "supports"}, {"gene": "SLC4A4", "stance": "supports"}, {"gene": "SPP1", "stance": "supports"}, {"gene": "MMP7", "stance": "supports"}, {"gene": "TACSTD2", "stance": "supports"}, {"gene": "ANXA4", "stance": "supports"}, {"gene": "ONECUT2", "stance": "supports"}, {"gene": "CD44", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "SOX4", "stance": "supports"}, {"gene": "CD24", "stance": "supports"}, {"gene": "SEL1L3", "stance": "supports"}], "rationale": "CFTR and SLC4A4 (bicarbonate secretion) plus SPP1, MMP7, TACSTD2, ANXA4, ONECUT2 and CD44 are the classic ductal markers in human pancreas single-cell data. None of the top genes points to endocrine, acinar or stromal cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 12.9}], "model": "claude-opus", "task_id": "ct-ee90c8cca6"} +{"attempts": [{"codes": [], "evidence": 20, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000182", "cell_type_label": "hepatocyte", "decision": "annotate", "markers": [{"gene": "ALB", "stance": "supports"}, {"gene": "APOC3", "stance": "supports"}, {"gene": "APOA2", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "APOC1", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "FGA", "stance": "supports"}, {"gene": "FGB", "stance": "supports"}, {"gene": "FGG", "stance": "supports"}, {"gene": "TF", "stance": "supports"}, {"gene": "RBP4", "stance": "supports"}, {"gene": "AMBP", "stance": "supports"}, {"gene": "SERPINA1", "stance": "supports"}, {"gene": "HP", "stance": "supports"}, {"gene": "ORM1", "stance": "supports"}, {"gene": "ORM2", "stance": "supports"}, {"gene": "APOH", "stance": "supports"}, {"gene": "CYP2E1", "stance": "supports"}, {"gene": "MT1G", "stance": "supports"}, {"gene": "MT1X", "stance": "supports"}], "rationale": "Nearly all cells in the cluster express, far above the rest of the dataset, the hepatocyte program: secreted plasma proteins (ALB, TTR, TF, RBP4, AMBP, HP, ORM1/2, SERPINA1, APOH), fibrinogen chains (FGA/FGB/FGG), apolipoproteins (APOA1/A2/C1/C3) and CYP2E1. No markers argue against it. Some of these genes are also detected in many cells outside the cluster, most likely ambient RNA from hepatocytes. CYP2E1 hints at pericentral hepatocytes, but without GLUL/CYP1A2 the general hepatocyte term is safer."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 19.4}], "model": "claude-opus", "task_id": "ct-fa6e0d282d"} +{"attempts": [{"codes": ["BEV017"], "evidence": 14, "findings": [{"message": "The label 'hepatic sinusoidal endothelial cell' is not the name of CL:0000639 ('basophil cell of pars distalis of adenohypophysis').", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV017"], "evidence": 15, "findings": [{"message": "The label 'hepatic sinusoidal endothelial cell' is not the name of CL:0002138 ('endothelial cell of lymphatic vessel').", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV017"], "evidence": 15, "findings": [{"message": "The label 'hepatic sinusoidal endothelial cell' is not the name of CL:0000639 ('basophil cell of pars distalis of adenohypophysis').", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000639", "cell_type_label": "hepatic sinusoidal endothelial cell", "decision": "annotate", "markers": [{"gene": "CCL14", "stance": "supports"}, {"gene": "FCN3", "stance": "supports"}, {"gene": "FCN2", "stance": "supports"}, {"gene": "DNASE1L3", "stance": "supports"}, {"gene": "CRHBP", "stance": "supports"}, {"gene": "CLDN5", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "IGFBP7", "stance": "supports"}, {"gene": "TIMP1", "stance": "supports"}, {"gene": "ID1", "stance": "supports"}, {"gene": "ID3", "stance": "supports"}, {"gene": "TFPI", "stance": "supports"}, {"gene": "HSPG2", "stance": "supports"}], "rationale": "This cluster expresses canonical and highly specific markers of hepatic sinusoidal endothelial cells (LSECs), including CCL14, FCN3, FCN2, DNASE1L3, and CRHBP, along with general vascular endothelial markers such as CLDN5, TM4SF1, GNG11, and IGFBP7. There are no contradicting marker genes present."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 15.2}, {"answer": {"cell_type_id": "CL:0002138", "cell_type_label": "hepatic sinusoidal endothelial cell", "decision": "annotate", "markers": [{"gene": "CCL14", "stance": "supports"}, {"gene": "FCN3", "stance": "supports"}, {"gene": "FCN2", "stance": "supports"}, {"gene": "DNASE1L3", "stance": "supports"}, {"gene": "CRHBP", "stance": "supports"}, {"gene": "CLDN5", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "IGFBP7", "stance": "supports"}, {"gene": "TIMP1", "stance": "supports"}, {"gene": "ID1", "stance": "supports"}, {"gene": "ID3", "stance": "supports"}, {"gene": "TFPI", "stance": "supports"}, {"gene": "LIFR", "stance": "supports"}, {"gene": "HSPG2", "stance": "supports"}], "rationale": "This cluster from the human caudate lobe of liver exhibits strong and specific expression of canonical liver sinusoidal endothelial cell (LSEC) markers including CCL14, FCN3, FCN2, DNASE1L3, and CRHBP, alongside core vascular endothelial genes such as CLDN5, TM4SF1, GNG11, IGFBP7, ID1, and ID3. The correct Cell Ontology identifier for hepatic sinusoidal endothelial cell is CL:0002138 (replacing the incorrect identifier CL:0000639). There are no contradicting marker genes."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'hepatic sinusoidal endothelial cell' is not the name of CL:0000639 ('basophil cell of pars distalis of adenohypophysis')."], "seconds": 51.5}, {"answer": {"cell_type_id": "CL:0000639", "cell_type_label": "hepatic sinusoidal endothelial cell", "decision": "annotate", "markers": [{"gene": "CCL14", "stance": "supports"}, {"gene": "FCN3", "stance": "supports"}, {"gene": "FCN2", "stance": "supports"}, {"gene": "DNASE1L3", "stance": "supports"}, {"gene": "CRHBP", "stance": "supports"}, {"gene": "CLDN5", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "IGFBP7", "stance": "supports"}, {"gene": "TIMP1", "stance": "supports"}, {"gene": "ID1", "stance": "supports"}, {"gene": "ID3", "stance": "supports"}, {"gene": "TFPI", "stance": "supports"}, {"gene": "LIFR", "stance": "supports"}, {"gene": "HSPG2", "stance": "supports"}], "rationale": "This cluster from the human caudate lobe of liver shows strong, characteristic expression of canonical liver sinusoidal endothelial cell (LSEC) markers including CCL14, FCN3, FCN2, DNASE1L3, and CRHBP, together with general and sinusoidal endothelial markers such as CLDN5, TM4SF1, GNG11, IGFBP7, ID1, ID3, and TFPI. The valid Cell Ontology term for hepatic sinusoidal endothelial cell is CL:0000639. There are no contradicting marker genes."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'hepatic sinusoidal endothelial cell' is not the name of CL:0002138 ('endothelial cell of lymphatic vessel')."], "seconds": 13.5}], "model": "gemini-flash", "task_id": "ct-04aaea9940"} +{"attempts": [{"codes": [], "evidence": 20, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "enterocyte", "decision": "annotate", "markers": [{"gene": "ALDOB", "stance": "supports"}, {"gene": "APOA4", "stance": "supports"}, {"gene": "FABP1", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "ADIRF", "stance": "supports"}, {"gene": "PRAP1", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "ANPEP", "stance": "supports"}, {"gene": "PHGR1", "stance": "supports"}, {"gene": "TMPRSS15", "stance": "supports"}, {"gene": "SMIM24", "stance": "supports"}, {"gene": "SLC26A3", "stance": "supports"}, {"gene": "FABP2", "stance": "supports"}, {"gene": "CDHR5", "stance": "supports"}, {"gene": "APOC3", "stance": "supports"}, {"gene": "SI", "stance": "supports"}, {"gene": "APOB", "stance": "supports"}, {"gene": "CES2", "stance": "supports"}, {"gene": "PIGR", "stance": "supports"}, {"gene": "SLC5A1", "stance": "supports"}], "rationale": "The marker gene profile demonstrates defining characteristics of mature small intestinal (duodenal) enterocytes. Canonical brush border digestive enzymes include SI (sucrase-isomaltase), ANPEP (alanyl aminopeptidase), and duodenal-specific TMPRSS15 (enteropeptidase/enterokinase). Key nutrient transport and lipid absorption machinery genes are strongly enriched, including FABP1, FABP2, RBP2, SLC5A1 (SGLT1), SLC26A3, and apolipoproteins (APOA1, APOA4, APOB, APOC3). CDHR5 is a component of the enterocyte brush border intermicrovillar adhesion complex. There are no contradictory markers among the top genes."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 16.5}], "model": "gemini-flash", "task_id": "ct-085bedbfa5"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'intestinal crypt stem cell' is not the name of CL:0002066 ('Feyrter cell'). 'intestinal crypt stem cell' is the name of CL:0002250 (intestinal crypt stem cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002066", "cell_type_label": "intestinal crypt stem cell", "decision": "annotate", "markers": [{"gene": "OLFM4", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "SLC12A2", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}, {"gene": "HMGA1", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "PIGR", "stance": "contradicts"}, {"gene": "REG3A", "stance": "contradicts"}], "rationale": "The cluster is characterized by high expression of OLFM4, the canonical marker for human intestinal crypt stem cells (crypt base columnar cells), along with SLC12A2, HMGA1, REG1A, and DMBT1, which are highly enriched in the intestinal stem and progenitor compartment. Markers of mature differentiated lineages (such as DEFA5/DEFA6 for Paneth cells, MUC2 for goblet cells, and APOA1/FABP1 for mature enterocytes) are absent, although general epithelial and mature secretory-associated genes like PIGR and REG3A show modest expression."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 22.2}, {"answer": {"cell_type_id": "CL:0002250", "cell_type_label": "intestinal crypt stem cell", "decision": "annotate", "markers": [{"gene": "OLFM4", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "SLC12A2", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}, {"gene": "HMGA1", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "PIGR", "stance": "contradicts"}, {"gene": "REG3A", "stance": "contradicts"}], "rationale": "The cluster strongly expresses OLFM4, the canonical marker of human intestinal crypt stem cells (crypt base columnar cells), together with SLC12A2, HMGA1, REG1A, and DMBT1, which are enriched in the crypt stem/progenitor cell compartment. More differentiated lineage markers (such as Paneth or mature enterocyte markers) are absent, though general epithelial/secretory genes like PIGR and REG3A are detected at modest levels."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'intestinal crypt stem cell' is not the name of CL:0002066 ('Feyrter cell'). 'intestinal crypt stem cell' is the name of CL:0002250 (intestinal crypt stem cell)."], "seconds": 9.2}], "model": "gemini-flash", "task_id": "ct-0f769ebe10"} +{"attempts": [{"codes": ["BEV004"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000148", "cell_type_label": "melanocyte", "decision": "annotate", "markers": [{"gene": "DCT", "stance": "supports"}, {"gene": "TYRP1", "stance": "supports"}, {"gene": "MLANA", "stance": "supports"}, {"gene": "PMEL", "stance": "supports"}, {"gene": "MITF", "stance": "supports"}, {"gene": "GPNMB", "stance": "supports"}, {"gene": "KRT14", "stance": "contradicts"}], "rationale": "This cluster distinctly expresses canonical melanocyte-specific markers, including DCT (dopachrome tautomerase), TYRP1 (tyrosinase-related protein 1), MLANA (melan-A / MART1), PMEL (premelanosome protein), and the lineage-defining transcription factor MITF. These genes are strongly upregulated with high log fold changes and very low expression outside the cluster (~2-9%). The presence of KRT14 likely reflects ambient RNA contamination from abundant epidermal keratinocytes."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 12.6}], "model": "gemini-flash", "task_id": "ct-1445edf08f"} +{"attempts": [{"codes": ["BEV025"], "evidence": 17, "findings": [{"message": "The ASCT+B reference lists MT1E as a marker of CL:4033042 (metallothionein-positive alveolar macrophage), cell types disjoint from CL:0000584.", "rule_id": "BEV025", "where": "evidence 15 (cluster=c09;gene=MT1E)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "enterocyte", "decision": "annotate", "markers": [{"gene": "FABP1", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "GSTA1", "stance": "supports"}, {"gene": "CPS1", "stance": "supports"}, {"gene": "CCL25", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}, {"gene": "PIGR", "stance": "supports"}, {"gene": "LGALS4", "stance": "supports"}, {"gene": "EPCAM", "stance": "supports"}, {"gene": "KRT8", "stance": "supports"}, {"gene": "KRT18", "stance": "supports"}, {"gene": "KRT19", "stance": "supports"}, {"gene": "MT1G", "stance": "supports"}, {"gene": "MT1E", "stance": "supports"}, {"gene": "MT1X", "stance": "supports"}, {"gene": "MT2A", "stance": "supports"}], "rationale": "The cluster exhibits classic markers of duodenal enterocytes (CL:0000584). FABP1 and RBP2 are canonical markers of intestinal absorptive enterocytes responsible for lipid and retinoid handling. GSTA1 and CPS1 are enterocyte-enriched metabolic enzymes. Epithelial identity is confirmed by EPCAM, KRT8, KRT18, and KRT19. In the human duodenum, mature enterocytes characteristically express high levels of antimicrobial/mucosal factors (REG1A, DMBT1, PIGR), the gut-homing chemokine CCL25, and high levels of metallothioneins (MT1G, MT1E, MT1X, MT2A, MT1H). No top marker genes argue against enterocyte identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 25.6}], "model": "gemini-flash", "task_id": "ct-1fed4d68f2"} +{"attempts": [{"codes": [], "evidence": 9, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000359", "cell_type_label": "vascular associated smooth muscle cell", "decision": "annotate", "markers": [{"gene": "TAGLN", "stance": "supports"}, {"gene": "ACTA2", "stance": "supports"}, {"gene": "MYH11", "stance": "supports"}, {"gene": "MYL9", "stance": "supports"}, {"gene": "TPM2", "stance": "supports"}, {"gene": "CALD1", "stance": "supports"}, {"gene": "RGS5", "stance": "supports"}, {"gene": "ADIRF", "stance": "supports"}, {"gene": "IGFBP7", "stance": "supports"}], "rationale": "The cluster shows strong, specific expression of canonical smooth muscle contractile machinery genes, including TAGLN (transgelin), ACTA2 (alpha smooth muscle actin), MYH11 (smooth muscle myosin heavy chain 11), MYL9, TPM2, and CALD1. The expression of MYH11 specifically identifies mature smooth muscle cells, distinguishing them from pericytes and fibroblasts. Concurrently, markers such as RGS5, ADIRF, and IGFBP7 confirm its vascular mural/vascular-associated identity in the skin, corresponding to vascular associated smooth muscle cells (CL:0000359)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 21.7}], "model": "gemini-flash", "task_id": "ct-22fc152fbd"} +{"attempts": [{"codes": ["BEV004", "BEV025"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The ASCT+B reference lists AQP3 as a marker of CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell); CL:1001431 (kidney collecting duct principal cell) and 1 more, cell types disjoint from CL:0001071.", "rule_id": "BEV025", "where": "evidence 10 (cluster=c13;gene=AQP3)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0001071", "cell_type_label": "group 3 innate lymphoid cell", "decision": "annotate", "markers": [{"gene": "RORC", "stance": "supports"}, {"gene": "KIT", "stance": "supports"}, {"gene": "IL7R", "stance": "supports"}, {"gene": "IL4I1", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "LTA", "stance": "supports"}, {"gene": "TOX2", "stance": "supports"}, {"gene": "HPN", "stance": "supports"}, {"gene": "SCN1B", "stance": "supports"}, {"gene": "AQP3", "stance": "supports"}, {"gene": "ZBTB16", "stance": "supports"}, {"gene": "LINC00299", "stance": "supports"}, {"gene": "LST1", "stance": "contradicts"}], "rationale": "This cluster exhibits the canonical and highly specific transcriptional profile of human group 3 innate lymphoid cells (ILC3):\n1. Key lineage markers: RORC encodes RORγt, the master transcription factor defining ILC3s. KIT (CD117) and IL7R (CD127) are hallmark surface markers of helper-like ILCs and specifically ILC3s in human tissue.\n2. Canonical ILC3 effector and identity genes: High expression of lymphotoxin genes (LTB and LTA) is characteristic of ILC3s, which use LTα1β2 signaling for mucosal lymphoid tissue maintenance and epithelial defense.\n3. Specific human ILC3 signature genes: IL4I1, TOX2, HPN (hepsin), SCN1B, AQP3, and LINC00299 represent well-documented, highly specific markers of human ILC3s identified in single-cell transcriptomic atlases of human ILCs.\n4. ZBTB16 (PLZF) is involved in ILC development and effector differentiation.\n5. LST1 is primarily recognized as a myeloid-associated transcript, but its presence here does not outweigh the definitive combination of RORC, KIT, IL7R, IL4I1, LTB, and LTA in the absence of T cell receptor components (e.g. CD3)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 63.2}], "model": "gemini-flash", "task_id": "ct-307f739343"} +{"attempts": [{"codes": [], "evidence": 10, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000171", "cell_type_label": "pancreatic A cell", "decision": "annotate", "markers": [{"gene": "GCG", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "GC", "stance": "supports"}, {"gene": "PCSK2", "stance": "supports"}, {"gene": "TM4SF4", "stance": "supports"}, {"gene": "IRX2", "stance": "supports"}, {"gene": "LOXL4", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "SLC30A8", "stance": "supports"}], "rationale": "The expression profile is uniquely characteristic of human pancreatic alpha cells (pancreatic A cells). Key supporting markers include GCG (glucagon, the primary hormone secreted by alpha cells), PCSK2 (proprotein convertase required for processing proglucagon to mature glucagon), IRX2 (alpha cell lineage transcription factor), and well-established human alpha cell markers including TTR, GC, TM4SF4, and LOXL4, alongside general endocrine/islet granule markers such as CHGA, CHGB, and SLC30A8. No marker genes argue against this annotation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 18.2}], "model": "gemini-flash", "task_id": "ct-32e6a3a16d"} +{"attempts": [{"codes": ["BEV004"], "evidence": 9, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000115", "cell_type_label": "endothelial cell", "decision": "annotate", "markers": [{"gene": "PLVAP", "stance": "supports"}, {"gene": "CAVIN2", "stance": "supports"}, {"gene": "RNASE1", "stance": "supports"}, {"gene": "RAMP3", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "IGFBP5", "stance": "supports"}, {"gene": "CD74", "stance": "contradicts"}, {"gene": "HLA-DRB1", "stance": "contradicts"}], "rationale": "The cluster strongly and specifically expresses hallmark endothelial cell markers, most notably PLVAP (plasmalemma vesicle-associated protein, pct_in 0.879 vs pct_out 0.037), CAVIN2 (pct_in 0.907 vs pct_out 0.124), RNASE1 (pct_in 0.946 vs pct_out 0.139), RAMP3, TM4SF1, and GNG11. While CD74 and HLA-DRB1 are classical MHC class II markers typically found in professional antigen-presenting cells, renal microvascular endothelial cells in humans constitutively express MHC class II molecules. Thus, the profile unambiguously identifies this cluster as an endothelial cell (CL:0000115)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 16.5}], "model": "gemini-flash", "task_id": "ct-32f05dbab5"} +{"attempts": [{"codes": ["BEV017"], "evidence": 16, "findings": [{"message": "The label 'CD1c-positive myeloid dendritic cell' is not the name of CL:0002396 ('CD14-low, CD16-positive monocyte'). 'CD1c-positive myeloid dendritic cell' is the name of CL:0002399 (CD1c-positive myeloid dendritic cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 16, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002396", "cell_type_label": "CD1c-positive myeloid dendritic cell", "decision": "annotate", "markers": [{"gene": "FCER1A", "stance": "supports"}, {"gene": "HLA-DRA", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}, {"gene": "HLA-DPB1", "stance": "supports"}, {"gene": "HLA-DPA1", "stance": "supports"}, {"gene": "HLA-DQA1", "stance": "supports"}, {"gene": "HLA-DQB1", "stance": "supports"}, {"gene": "GPR183", "stance": "supports"}, {"gene": "CST3", "stance": "supports"}, {"gene": "LYZ", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}, {"gene": "AIF1", "stance": "supports"}, {"gene": "CXCL8", "stance": "supports"}, {"gene": "SRGN", "stance": "supports"}], "rationale": "The expression profile strongly identifies this cluster as CD1c-positive myeloid dendritic cells (cDC2 / type 2 conventional dendritic cells; CL:0002396) in the skin dermis:\n1. Extremely high expression of MHC class II molecules and antigen presentation machinery: HLA-DRA, CD74, HLA-DRB1, HLA-DPB1, HLA-DPA1, HLA-DQA1, HLA-DQB1, HLA-DRB5, and CST3.\n2. Specific expression of FCER1A (Fc epsilon receptor Ia) alongside FCER1G, which in human myeloid and dendritic cell subsets uniquely distinguishes cDC2s from cDC1s and macrophages.\n3. Expression of GPR183 (EBI2), a key chemotactic receptor enriched in and essential for cDC2 tissue positioning.\n4. Co-expression of myeloid markers LYZ, TYROBP (DAP12), and AIF1, typical of dermal myeloid dendritic cells.\n5. Lack of Langerhans cell markers (CD207/langerin, CD1A), cDC1 markers (CLEC9A, XCR1), mature/migratory DC markers (LAMP3, CCR7), and macrophage-specific markers (CD163, CD68, MRC1, MERTK) argues against other skin myeloid cell types."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 57.1}, {"answer": {"cell_type_id": "CL:0002399", "cell_type_label": "CD1c-positive myeloid dendritic cell", "decision": "annotate", "markers": [{"gene": "FCER1A", "stance": "supports"}, {"gene": "HLA-DRA", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}, {"gene": "HLA-DPB1", "stance": "supports"}, {"gene": "HLA-DPA1", "stance": "supports"}, {"gene": "HLA-DQA1", "stance": "supports"}, {"gene": "HLA-DQB1", "stance": "supports"}, {"gene": "GPR183", "stance": "supports"}, {"gene": "CST3", "stance": "supports"}, {"gene": "LYZ", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}, {"gene": "AIF1", "stance": "supports"}, {"gene": "CXCL8", "stance": "supports"}, {"gene": "SRGN", "stance": "supports"}], "rationale": "The marker profile strongly identifies this cluster as CD1c-positive myeloid dendritic cells (cDC2 / type 2 conventional dendritic cells; CL:0002399) in human skin:\n1. High expression of MHC class II molecules and antigen processing/presentation machinery: HLA-DRA, CD74, HLA-DRB1, HLA-DPB1, HLA-DPA1, HLA-DQA1, HLA-DQB1, and CST3.\n2. Distinctive expression of FCER1A (Fc epsilon receptor Ia) and FCER1G, which in human myeloid/dendritic subsets specifically marks CD1c+ cDC2s and differentiates them from cDC1s and macrophages.\n3. Expression of GPR183 (EBI2), a key chemotactic receptor critical for cDC2 tissue localization.\n4. Expression of general myeloid/dendritic cell genes including LYZ, TYROBP (DAP12), and AIF1."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'CD1c-positive myeloid dendritic cell' is not the name of CL:0002396 ('CD14-low, CD16-positive monocyte'). 'CD1c-positive myeloid dendritic cell' is the name of CL:0002399 (CD1c-positive myeloid dendritic cell)."], "seconds": 12.6}], "model": "gemini-flash", "task_id": "ct-3385c5a4a1"} +{"attempts": [{"codes": [], "evidence": 12, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002064", "cell_type_label": "pancreatic acinar cell", "decision": "annotate", "markers": [{"gene": "PRSS1", "stance": "supports"}, {"gene": "CTRB2", "stance": "supports"}, {"gene": "PNLIP", "stance": "supports"}, {"gene": "PLA2G1B", "stance": "supports"}, {"gene": "CPB1", "stance": "supports"}, {"gene": "CPA1", "stance": "supports"}, {"gene": "CPA2", "stance": "supports"}, {"gene": "CEL", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "REG1B", "stance": "supports"}, {"gene": "REG3A", "stance": "supports"}], "rationale": "This cluster exhibits high and specific expression of canonical pancreatic digestive enzymes and zymogens (PRSS1, CTRB2, PNLIP, PLA2G1B, CPB1, CPA1, CPA2, CEL), the trypsin inhibitor SPINK1, and regenerating islet-derived family members (REG1A, REG1B, REG3A). These are definitive markers of pancreatic acinar cells. No markers contradict this annotation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 13.8}], "model": "gemini-flash", "task_id": "ct-36d56001f7"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 10, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'type A intercalated cell' is not the name of CL:0005010 ('renal intercalated cell'). 'type A intercalated cell' is the name of CL:0005011 (renal alpha-intercalated cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 10, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0005010", "cell_type_label": "type A intercalated cell", "decision": "annotate", "markers": [{"gene": "SLC4A1", "stance": "supports"}, {"gene": "SLC26A7", "stance": "supports"}, {"gene": "ATP6V0D2", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "TMEM213", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "CALB1", "stance": "contradicts"}, {"gene": "HSD11B2", "stance": "contradicts"}], "rationale": "The cluster is identified as a type A intercalated cell (CL:0005010) of the kidney collecting duct / distal nephron. It strongly expresses canonical type A intercalated cell markers responsible for proton secretion and bicarbonate reabsorption: SLC4A1 (AE1, basolateral Cl-/HCO3- exchanger), SLC26A7 (basolateral anion exchanger), ATP6V0D2 (vacuolar H+-ATPase subunit), and RHCG (ammonia transporter). It also displays high expression of TMEM213, CA12, DEFB1, and SPINK1, which are characteristic of human kidney intercalated cells. In contrast, CALB1 and HSD11B2 are traditionally canonical markers of the distal convoluted tubule, connecting tubule, and collecting duct principal cells, arguing against a classical intercalated cell profile (likely reflecting ambient RNA or expression in connecting tubule transitional cells)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 46.7}, {"answer": {"cell_type_id": "CL:0005011", "cell_type_label": "type A intercalated cell", "decision": "annotate", "markers": [{"gene": "SLC4A1", "stance": "supports"}, {"gene": "SLC26A7", "stance": "supports"}, {"gene": "ATP6V0D2", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "TMEM213", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "CALB1", "stance": "contradicts"}, {"gene": "HSD11B2", "stance": "contradicts"}], "rationale": "The cluster is identified as a type A intercalated cell (CL:0005011) of the kidney collecting duct / distal nephron. It strongly expresses canonical type A intercalated cell markers responsible for proton secretion and bicarbonate reabsorption: SLC4A1 (AE1, basolateral Cl-/HCO3- exchanger), SLC26A7 (basolateral anion exchanger), ATP6V0D2 (vacuolar H+-ATPase subunit), and RHCG (ammonia transporter). It also displays high expression of TMEM213, CA12, DEFB1, and SPINK1, which are characteristic of human kidney intercalated cells. In contrast, CALB1 and HSD11B2 are canonical markers of distal convoluted tubule / connecting tubule / principal cells, arguing against a classical intercalated cell profile."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'type A intercalated cell' is not the name of CL:0005010 ('renal intercalated cell'). 'type A intercalated cell' is the name of CL:0005011 (renal alpha-intercalated cell)."], "seconds": 11.4}], "model": "gemini-flash", "task_id": "ct-3cbc7c57fd"} +{"attempts": [{"codes": [], "evidence": 10, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000084", "cell_type_label": "T cell", "decision": "annotate", "markers": [{"gene": "CD3D", "stance": "supports"}, {"gene": "TRAC", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "CD52", "stance": "supports"}, {"gene": "CORO1A", "stance": "supports"}, {"gene": "CXCR4", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "NKG7", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}], "rationale": "The cluster shows strong and specific expression of canonical T cell lineage markers CD3D (79.5% in vs 3.0% out) and TRAC (72.6% in vs 3.7% out), which unequivocally identify this cluster as T cells. The high expression of CCL5, IL32, NKG7, GZMA, and HCST further indicates an effector / cytotoxic T cell phenotype commonly resident in human liver tissue. General lymphocyte and immune-associated genes like CD52, CORO1A, and CXCR4 also support this annotation. None of the top marker genes contradict a T cell identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 16.7}], "model": "gemini-flash", "task_id": "ct-3f2898af5e"} +{"attempts": [{"codes": [], "evidence": 20, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000057", "cell_type_label": "fibroblast", "decision": "annotate", "markers": [{"gene": "DCN", "stance": "supports"}, {"gene": "CFD", "stance": "supports"}, {"gene": "CXCL14", "stance": "supports"}, {"gene": "COL1A2", "stance": "supports"}, {"gene": "GSN", "stance": "supports"}, {"gene": "COL6A2", "stance": "supports"}, {"gene": "COL1A1", "stance": "supports"}, {"gene": "LUM", "stance": "supports"}, {"gene": "FBLN1", "stance": "supports"}, {"gene": "PLAC9", "stance": "supports"}, {"gene": "COL3A1", "stance": "supports"}, {"gene": "MMP2", "stance": "supports"}, {"gene": "SFRP2", "stance": "supports"}, {"gene": "SOD3", "stance": "supports"}, {"gene": "CCDC80", "stance": "supports"}, {"gene": "IGFBP5", "stance": "supports"}, {"gene": "APOD", "stance": "supports"}, {"gene": "CTSK", "stance": "supports"}, {"gene": "CEBPB", "stance": "supports"}, {"gene": "SERPINF1", "stance": "supports"}], "rationale": "This cluster strongly and consistently expresses canonical markers of skin fibroblasts. The top enriched genes include core extracellular matrix (ECM) structural components such as collagens (COL1A1, COL1A2, COL3A1, COL6A2), proteoglycans (DCN, LUM), and ECM glycoproteins (FBLN1, CCDC80). It also highly expresses characteristic dermal fibroblast secreted factors, signaling proteins, and enzymes, including CFD, CXCL14, SFRP2, MMP2, SOD3, CTSK, IGFBP5, APOD, and SERPINF1. There are no conflicting lineage-specific markers (e.g., keratinocytes, melanocytes, endothelial, or immune cell markers). Therefore, this cluster is unambiguously identified as a fibroblast (CL:0000057)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 51.5}], "model": "gemini-flash", "task_id": "ct-5e18af843a"} +{"attempts": [{"codes": ["BEV017"], "evidence": 10, "findings": [{"message": "The label 'type B pancreatic cell' is not the name of CL:0000166 ('chromaffin cell'). 'type B pancreatic cell' is the name of CL:0000169 (type B pancreatic cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 10, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000166", "cell_type_label": "type B pancreatic cell", "decision": "annotate", "markers": [{"gene": "INS", "stance": "supports"}, {"gene": "IAPP", "stance": "supports"}, {"gene": "MAFA", "stance": "supports"}, {"gene": "PDX1", "stance": "supports"}, {"gene": "PCSK1", "stance": "supports"}, {"gene": "G6PC2", "stance": "supports"}, {"gene": "ABCC8", "stance": "supports"}, {"gene": "HADH", "stance": "supports"}, {"gene": "SYT13", "stance": "supports"}, {"gene": "NPTX2", "stance": "supports"}], "rationale": "The cluster strongly expresses classic, canonical marker genes of pancreatic beta cells (type B pancreatic cells), notably INS (insulin) and IAPP (islet amyloid polypeptide), alongside key beta-cell transcription factors (MAFA, PDX1), proinsulin processing enzymes (PCSK1), and beta-cell metabolic/secretion regulators (G6PC2, ABCC8, HADH, SYT13). No markers contradict this annotation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 10.8}, {"answer": {"cell_type_id": "CL:0000169", "cell_type_label": "type B pancreatic cell", "decision": "annotate", "markers": [{"gene": "INS", "stance": "supports"}, {"gene": "IAPP", "stance": "supports"}, {"gene": "MAFA", "stance": "supports"}, {"gene": "PDX1", "stance": "supports"}, {"gene": "PCSK1", "stance": "supports"}, {"gene": "G6PC2", "stance": "supports"}, {"gene": "ABCC8", "stance": "supports"}, {"gene": "HADH", "stance": "supports"}, {"gene": "SYT13", "stance": "supports"}, {"gene": "NPTX2", "stance": "supports"}], "rationale": "The cluster exhibits high and specific expression of canonical marker genes of pancreatic beta cells (type B pancreatic cell, CL:0000169), including INS (insulin), IAPP (islet amyloid polypeptide), beta-cell transcription factors (PDX1, MAFA), prohormone processing enzyme PCSK1, and glucose-sensing/secretion machinery components (G6PC2, ABCC8, HADH, SYT13, NPTX2). No markers contradict this annotation."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'type B pancreatic cell' is not the name of CL:0000166 ('chromaffin cell'). 'type B pancreatic cell' is the name of CL:0000169 (type B pancreatic cell)."], "seconds": 12.4}], "model": "gemini-flash", "task_id": "ct-6ea69bcccb"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'enteroendocrine cell' is not the name of CL:0000169 ('type B pancreatic cell'). 'enteroendocrine cell' is the name of CL:0000164 (enteroendocrine cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000169", "cell_type_label": "enteroendocrine cell", "decision": "annotate", "markers": [{"gene": "CHGA", "stance": "supports"}, {"gene": "NEUROD1", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "PCSK1N", "stance": "supports"}, {"gene": "FEV", "stance": "supports"}, {"gene": "INSM1", "stance": "supports"}, {"gene": "CPE", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "SCT", "stance": "supports"}, {"gene": "MLN", "stance": "supports"}, {"gene": "TFF3", "stance": "contradicts"}], "rationale": "The cluster expresses classic pan-enteroendocrine / neuroendocrine markers including chromogranins (CHGA, CHGB), secretogranins (SCG2, SCG5, SCGN), prohormone processing and neuroendocrine peptides (PCSK1N, CPE), and lineage-determining transcription factors (NEUROD1, INSM1, FEV). In addition, gut hormone genes such as secretin (SCT) and motilin (MLN) are characteristic hormones produced by enteroendocrine cells in the duodenum. TFF3 is typically enriched in goblet cells and can be considered a marker that argues against this specific lineage, though low/moderate levels or ambient RNA from goblet cells are frequently seen in intestinal single-cell datasets."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 12.4}, {"answer": {"cell_type_id": "CL:0000164", "cell_type_label": "enteroendocrine cell", "decision": "annotate", "markers": [{"gene": "CHGA", "stance": "supports"}, {"gene": "NEUROD1", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "PCSK1N", "stance": "supports"}, {"gene": "FEV", "stance": "supports"}, {"gene": "INSM1", "stance": "supports"}, {"gene": "CPE", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "SCT", "stance": "supports"}, {"gene": "MLN", "stance": "supports"}, {"gene": "TFF3", "stance": "contradicts"}], "rationale": "The cluster expresses classic pan-enteroendocrine markers including chromogranins (CHGA, CHGB), secretogranins (SCG2, SCG5, SCGN), neuroendocrine peptide/processing factors (PCSK1N, CPE), and key lineage transcription factors (NEUROD1, INSM1, FEV). In addition, enteroendocrine hormones characteristic of the duodenum such as secretin (SCT) and motilin (MLN) are distinctly expressed. TFF3 is a canonical goblet cell marker and argues against this lineage (likely present as ambient RNA or low-level co-expression). The correct Cell Ontology ID for enteroendocrine cell is CL:0000164."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'enteroendocrine cell' is not the name of CL:0000169 ('type B pancreatic cell'). 'enteroendocrine cell' is the name of CL:0000164 (enteroendocrine cell)."], "seconds": 9.1}], "model": "gemini-flash", "task_id": "ct-76f0318d60"} +{"attempts": [{"codes": ["BEV025"], "evidence": 15, "findings": [{"message": "The ASCT+B reference lists FCER1G as a marker of CL:0000767 (basophil); CL:0000775 (neutrophil); CL:0000784 (plasmacytoid dendritic cell) and 5 more, cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 6 (cluster=c09;gene=FCER1G)"}, {"message": "The ASCT+B reference lists CCL3 as a marker of CL:4033041 (CCL3-positive alveolar macrophage), cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 14 (cluster=c09;gene=CCL3)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000623", "cell_type_label": "natural killer cell", "decision": "annotate", "markers": [{"gene": "KLRF1", "stance": "supports"}, {"gene": "KLRD1", "stance": "supports"}, {"gene": "NKG7", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "XCL2", "stance": "supports"}, {"gene": "CD7", "stance": "supports"}, {"gene": "IL2RB", "stance": "supports"}, {"gene": "CMC1", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "CCL4", "stance": "supports"}, {"gene": "CCL3", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}], "rationale": "This cluster originates from a human liver caudate lobe scRNA-seq dataset (consistent with MacParland et al., 2018). It exhibits robust expression of natural killer (NK) cell-defining surface receptors, signaling adapters, and cytotoxic effector molecules. In particular, KLRF1 (NKp80) is a hallmark NK cell-specific marker, alongside KLRD1 (CD94), KLRB1 (CD161), and CD7. Intracellular signaling adapters essential for NK-activating receptors (TYROBP/DAP12, FCER1G, and HCST/DAP10), cytokine receptors (IL2RB/CD122), cytotoxicity/chemokine genes (NKG7, GZMA, XCL2, CCL3, CCL4, CCL5), and CMC1 further corroborate the natural killer cell identity. The absence of canonical T cell lineage markers (e.g., CD3 subunits) rules out T and NKT cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 14.7}], "model": "gemini-flash", "task_id": "ct-992627e517"} +{"attempts": [{"codes": ["BEV004", "BEV025"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The ASCT+B reference lists HPGDS as a marker of CL:0002079 (pancreatic ductal cell), cell types disjoint from CL:0000546.", "rule_id": "BEV025", "where": "evidence 1 (cluster=c11;gene=HPGDS)"}, {"message": "The ASCT+B reference lists GATA3 as a marker of CL:1000454 (kidney collecting duct epithelial cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell) and 2 more, cell types disjoint from CL:0000546.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c11;gene=GATA3)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000546", "cell_type_label": "T-helper 2 cell", "decision": "annotate", "markers": [{"gene": "HPGDS", "stance": "supports"}, {"gene": "PTGDR2", "stance": "supports"}, {"gene": "GATA3", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "TESPA1", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "KRT1", "stance": "contradicts"}], "rationale": "The marker gene expression profile strongly identifies this cluster as T-helper 2 cells (Th2 cells, CL:0000546). Key supporting evidence includes high and specific expression of PTGDR2 (CRTH2 / CD294, the canonical surface marker of Th2 cells) and HPGDS (hematopoietic prostaglandin D synthase), which function together in the PGD2 pathway characteristic of Th2 cells. Additionally, GATA3 is the lineage-defining master transcription factor for type 2 immunity, while IL32, LTB, and TESPA1 (involved in TCR signaling and enriched in Th2 cells) support the CD4+ T cell identity. KRT1 is normally an epithelial marker and is likely present due to ambient RNA contamination or technical artifact."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 20.7}], "model": "gemini-flash", "task_id": "ct-a53a01a447"} +{"attempts": [{"codes": [], "evidence": 7, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000115", "cell_type_label": "endothelial cell", "decision": "annotate", "markers": [{"gene": "TM4SF1", "stance": "supports"}, {"gene": "RAMP2", "stance": "supports"}, {"gene": "TIMP3", "stance": "supports"}, {"gene": "IFI27", "stance": "supports"}, {"gene": "ID1", "stance": "supports"}, {"gene": "VIM", "stance": "supports"}, {"gene": "AQP1", "stance": "supports"}], "rationale": "The cluster exhibits characteristic expression of canonical endothelial marker genes including TM4SF1, RAMP2 (a key component of the adrenomedullin receptor complex in vascular endothelium), TIMP3, IFI27, and ID1. In the kidney, AQP1 is highly expressed in descending vasa recta endothelial cells as well as proximal tubular and descending thin limb epithelial cells; here its high expression alongside prominent vascular/endothelial markers and the absence of tubular epithelial markers (such as LRP2, CUBN, or SLC12A1) firmly identifies this cluster as endothelial cells (CL:0000115)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 21.5}], "model": "gemini-flash", "task_id": "ct-c22bc01239"} +{"attempts": [{"codes": ["BEV004", "BEV025"], "evidence": 11, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The ASCT+B reference lists KLRB1 as a marker of CL:0000940 (mucosal invariant T cell), cell types disjoint from CL:0000798.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c06;gene=KLRB1)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000798", "cell_type_label": "gamma-delta T cell", "decision": "annotate", "markers": [{"gene": "TRDV2", "stance": "supports"}, {"gene": "CD3E", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "NCR3", "stance": "supports"}, {"gene": "IL7R", "stance": "supports"}, {"gene": "CCR6", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "BLK", "stance": "contradicts"}, {"gene": "LST1", "stance": "contradicts"}, {"gene": "CAPG", "stance": "contradicts"}], "rationale": "The cluster is identified as a gamma-delta T cell (CL:0000798). A definitive marker is TRDV2 (T cell receptor delta variable 2), which is captured in 10x 5' scRNA-seq and specifically forms the TCR delta chain of Vdelta2 gamma-delta T cells. The cluster also shows strong expression of the T-cell coreceptor CD3E, along with characteristic gamma-delta / cytotoxic T-cell markers such as KLRB1 (CD161), NCR3 (NKp30), CCR6, IL7R, and LTB. Canonical B-cell (BLK) or myeloid-associated genes (LST1, CAPG) appear at lower frequencies or represent known atypical transcripts in this lymphocyte lineage, arguing superficially against a pure T-cell phenotype but fully consistent overall with gamma-delta T cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 20.0}], "model": "gemini-flash", "task_id": "ct-c84f57496a"} +{"attempts": [], "calls": [{"answer": {"cell_type_id": "", "cell_type_label": "", "decision": "uncertain", "markers": [{"gene": "TOP2A", "stance": "contradicts"}, {"gene": "MKI67", "stance": "contradicts"}, {"gene": "CDK1", "stance": "contradicts"}, {"gene": "UBE2C", "stance": "contradicts"}, {"gene": "CENPF", "stance": "contradicts"}, {"gene": "NUSAP1", "stance": "contradicts"}, {"gene": "TYMS", "stance": "contradicts"}, {"gene": "STMN1", "stance": "contradicts"}, {"gene": "HMGB2", "stance": "contradicts"}, {"gene": "H4C3", "stance": "contradicts"}], "rationale": "The top marker genes for this cluster (H4C3, STMN1, TUBA1B, TUBB, HMGB2, TOP2A, TYMS, MKI67, UBE2C, NUSAP1, CENPF, CDK1) are canonical hallmarks of cell cycle progression, DNA replication (S phase), and mitosis (G2/M phase). There are no lineage-specific marker genes present (e.g., epithelial, endothelial, mesenchymal, or immune markers) to resolve the underlying cell type of origin. In the Cell Ontology, proliferation/cycling is a cellular state/biological process rather than a distinct anatomical cell type. Because the cluster is defined solely by cell cycle signatures without lineage-defining markers, it cannot be assigned to a specific Cell Ontology cell type term."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 51.8}], "model": "gemini-flash", "task_id": "ct-c8e68f267e"} +{"attempts": [{"codes": ["BEV004", "BEV023"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "CL:0002371 (obsolete somatic cell) is obsolete in the pinned CL release. Use CL:0000000 (cell).", "rule_id": "BEV023", "where": "object id"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004", "BEV017"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'kidney collecting duct principal cell' is not the name of CL:1000714 ('kidney cortex collecting duct principal cell'). 'kidney collecting duct principal cell' is the name of CL:1001431 (kidney collecting duct principal cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002371", "cell_type_label": "kidney collecting duct principal cell", "decision": "annotate", "markers": [{"gene": "DEFB1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "TMEM52B", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "CALB1", "stance": "supports"}, {"gene": "KLK1", "stance": "contradicts"}], "rationale": "The cluster strongly expresses canonical markers of human kidney collecting duct principal cells (CL:0002371), prominently led by DEFB1, HSD11B2 (11-beta-hydroxysteroid dehydrogenase type 2, crucial for aldosterone-regulated sodium transport in principal cells), TMEM52B, RHCG, and ATP1B1. CALB1 is also expressed in cortical collecting duct principal cells as well as connecting tubule (CNT) and distal convoluted tubule (DCT) cells. The presence of KLK1 (tissue kallikrein) reflects the transition/overlap with connecting tubule cells, but the overwhelming enrichment of DEFB1, HSD11B2, and TMEM52B decisively points to collecting duct principal cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 24.3}, {"answer": {"cell_type_id": "CL:1000714", "cell_type_label": "kidney collecting duct principal cell", "decision": "annotate", "markers": [{"gene": "DEFB1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "TMEM52B", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "CALB1", "stance": "supports"}, {"gene": "KLK1", "stance": "contradicts"}], "rationale": "The cluster strongly expresses key marker genes characteristic of kidney collecting duct principal cells (CL:1000714), including DEFB1, HSD11B2 (11-beta-hydroxysteroid dehydrogenase type 2, essential for aldosterone specificity in principal cells), TMEM52B, RHCG, and ATP1B1. CALB1 is also expressed in cortical collecting duct principal cells as well as connecting tubule (CNT) and distal convoluted tubule (DCT) cells. KLK1 (tissue kallikrein) is predominantly a marker of the connecting tubule, reflecting the close developmental and transcriptional continuum between CNT and cortical collecting duct cells, but the high enrichment of DEFB1, HSD11B2, and TMEM52B confirms the cell type as kidney collecting duct principal cell."}, "cli_tools": [], "error": null, "feedback": ["object id: CL:0002371 (obsolete somatic cell) is obsolete in the pinned CL release. Use CL:0000000 (cell)."], "seconds": 25.1}, {"answer": {"cell_type_id": "CL:1000714", "cell_type_label": "kidney cortex collecting duct principal cell", "decision": "annotate", "markers": [{"gene": "DEFB1", "stance": "supports"}, {"gene": "CALB1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "TMEM52B", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "KLK1", "stance": "contradicts"}], "rationale": "The cluster displays high expression of canonical collecting duct principal cell markers, including DEFB1, HSD11B2 (11-beta-hydroxysteroid dehydrogenase type 2), TMEM52B, RHCG, and ATP1B1. Furthermore, CALB1 is strongly enriched (logfc 2.298, pct_in 0.856), which specifically distinguishes cortical collecting duct principal cells from medullary collecting duct principal cells. KLK1 is predominantly expressed in connecting tubule cells, reflecting the transcriptional proximity along the distal nephron/collecting system, but the overall marker profile definitively identifies this cluster as kidney cortex collecting duct principal cell (CL:1000714)."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'kidney collecting duct principal cell' is not the name of CL:1000714 ('kidney cortex collecting duct principal cell'). 'kidney collecting duct principal cell' is the name of CL:1001431 (kidney collecting duct principal cell)."], "seconds": 28.7}], "model": "gemini-flash", "task_id": "ct-e7cab67ae5"} +{"attempts": [{"codes": [], "evidence": 8, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002079", "cell_type_label": "pancreatic ductal cell", "decision": "annotate", "markers": [{"gene": "CFTR", "stance": "supports"}, {"gene": "TACSTD2", "stance": "supports"}, {"gene": "SLC4A4", "stance": "supports"}, {"gene": "MMP7", "stance": "supports"}, {"gene": "SPP1", "stance": "supports"}, {"gene": "ANXA4", "stance": "supports"}, {"gene": "ONECUT2", "stance": "supports"}, {"gene": "CD24", "stance": "supports"}], "rationale": "This cluster strongly and specifically expresses canonical marker genes of pancreatic ductal cells, notably CFTR (cystic fibrosis transmembrane conductance regulator), SLC4A4 (electrogenic sodium bicarbonate cotransporter), TACSTD2 (TROP2), MMP7, SPP1, ANXA4, and ONECUT2. There is no significant expression of acinar (e.g., PRSS1, CPA1) or endocrine islet markers (e.g., INS, GCG, SST)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 12.5}], "model": "gemini-flash", "task_id": "ct-ee90c8cca6"} +{"attempts": [{"codes": [], "evidence": 20, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000182", "cell_type_label": "hepatocyte", "decision": "annotate", "markers": [{"gene": "ALB", "stance": "supports"}, {"gene": "APOC3", "stance": "supports"}, {"gene": "APOA2", "stance": "supports"}, {"gene": "APOC1", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "FGA", "stance": "supports"}, {"gene": "ORM1", "stance": "supports"}, {"gene": "HP", "stance": "supports"}, {"gene": "FGB", "stance": "supports"}, {"gene": "RBP4", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "TF", "stance": "supports"}, {"gene": "AMBP", "stance": "supports"}, {"gene": "SERPINA1", "stance": "supports"}, {"gene": "CYP2E1", "stance": "supports"}, {"gene": "FGG", "stance": "supports"}, {"gene": "APOH", "stance": "supports"}, {"gene": "ORM2", "stance": "supports"}, {"gene": "MT1G", "stance": "supports"}, {"gene": "MT1X", "stance": "supports"}], "rationale": "The cluster originates from the liver and expresses canonical hepatocyte markers including serum albumin (ALB), apolipoproteins (APOC3, APOA2, APOC1, APOA1, APOH), coagulation factors/fibrinogen chains (FGA, FGB, FGG), carrier/acute-phase proteins (TTR, HP, ORM1, ORM2, TF, AMBP, SERPINA1, RBP4), and the metabolic cytochrome P450 enzyme CYP2E1. There are no conflicting lineage markers."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 11.9}], "model": "gemini-flash", "task_id": "ct-fa6e0d282d"} +{"attempts": [{"codes": [], "evidence": 20, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:1000398", "cell_type_label": "endothelial cell of hepatic sinusoid", "decision": "annotate", "markers": [{"gene": "IGFBP7", "stance": "supports"}, {"gene": "TIMP1", "stance": "supports"}, {"gene": "ID1", "stance": "supports"}, {"gene": "FCN3", "stance": "supports"}, {"gene": "ID3", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "DNASE1L3", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "CCL14", "stance": "supports"}, {"gene": "LIFR", "stance": "supports"}, {"gene": "CRHBP", "stance": "supports"}, {"gene": "TFPI", "stance": "supports"}, {"gene": "IL6ST", "stance": "supports"}, {"gene": "CLDN5", "stance": "supports"}, {"gene": "TIMP3", "stance": "supports"}, {"gene": "IFI27", "stance": "supports"}, {"gene": "FCN2", "stance": "supports"}, {"gene": "HLA-E", "stance": "supports"}, {"gene": "IFITM3", "stance": "supports"}, {"gene": "HSPG2", "stance": "supports"}], "rationale": "The cluster exhibits strong expression of general endothelial cell markers such as CLDN5, TM4SF1, GNG11, and IGFBP7. Furthermore, it specifically expresses established markers for liver sinusoidal endothelial cells (LSECs), particularly FCN3, FCN2, DNASE1L3, and CRHBP. This combination of generic endothelial and LSEC-specific markers identifies these cells as endothelial cells of the hepatic sinusoid."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 27.8}], "model": "gemini-pro", "task_id": "ct-04aaea9940"} +{"attempts": [{"codes": [], "evidence": 20, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "enterocyte", "decision": "annotate", "markers": [{"gene": "ALDOB", "stance": "supports"}, {"gene": "APOA4", "stance": "supports"}, {"gene": "FABP1", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "ADIRF", "stance": "supports"}, {"gene": "PRAP1", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "ANPEP", "stance": "supports"}, {"gene": "PHGR1", "stance": "supports"}, {"gene": "TMPRSS15", "stance": "supports"}, {"gene": "SMIM24", "stance": "supports"}, {"gene": "SLC26A3", "stance": "supports"}, {"gene": "FABP2", "stance": "supports"}, {"gene": "CDHR5", "stance": "supports"}, {"gene": "APOC3", "stance": "supports"}, {"gene": "SI", "stance": "supports"}, {"gene": "APOB", "stance": "supports"}, {"gene": "CES2", "stance": "supports"}, {"gene": "PIGR", "stance": "supports"}, {"gene": "SLC5A1", "stance": "supports"}], "rationale": "The cluster expresses high levels of apolipoproteins (APOA4, APOA1, APOC3, APOB), fatty acid-binding proteins (FABP1, FABP2), and retinol-binding protein (RBP2), which are characteristic of lipid absorption and chylomicron formation. It also features typical intestinal brush border enzymes like sucrase-isomaltase (SI) and aminopeptidase N (ANPEP), as well as the duodenum-specific enteropeptidase (TMPRSS15). The presence of the sodium/glucose cotransporter (SLC5A1) and structural microvilli markers (CDHR5) further confirms that these are mature enterocytes (intestinal absorptive cells)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 26.6}], "model": "gemini-pro", "task_id": "ct-085bedbfa5"} +{"attempts": [{"codes": ["BEV017"], "evidence": 6, "findings": [{"message": "The label 'intestinal stem cell' is not the name of CL:0011026 ('progenitor cell'). Closest names: CL:0002250 (intestinal crypt stem cell); CL:0019032 (intestinal tuft cell); CL:0000047 (neural stem cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 6, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0011026", "cell_type_label": "intestinal stem cell", "decision": "annotate", "markers": [{"gene": "OLFM4", "stance": "supports"}, {"gene": "SLC12A2", "stance": "supports"}, {"gene": "CCL25", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "AGR2", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}], "rationale": "The cluster expresses extremely high levels of OLFM4, which is the canonical marker for human intestinal stem cells (specifically crypt base columnar cells). It also exhibits high expression of SLC12A2 and CCL25, which are characteristic of small intestinal crypt epithelial cells. The presence of secretory and antimicrobial factors such as REG1A, REG3A, AGR2, and DMBT1 is typical of the crypt base niche, while PTMA and ribosomal genes indicate an active, cycling cell population consistent with stem or early transit-amplifying cells. There are no top markers that strongly contradict this assignment."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 44.7}, {"answer": {"cell_type_id": "CL:0002250", "cell_type_label": "intestinal crypt stem cell", "decision": "annotate", "markers": [{"gene": "OLFM4", "stance": "supports"}, {"gene": "SLC12A2", "stance": "supports"}, {"gene": "CCL25", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "AGR2", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}], "rationale": "The cluster expresses high levels of OLFM4, which is the canonical marker for human intestinal crypt stem cells (specifically crypt base columnar cells). It also exhibits high expression of SLC12A2 and CCL25, which are characteristic of small intestinal crypt epithelial cells. The presence of factors such as REG1A, AGR2, and DMBT1 is typical of the crypt base niche. There are no top markers that strongly contradict this assignment."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'intestinal stem cell' is not the name of CL:0011026 ('progenitor cell'). Closest names: CL:0002250 (intestinal crypt stem cell); CL:0019032 (intestinal tuft cell); CL:0000047 (neural stem cell)."], "seconds": 16.8}], "model": "gemini-pro", "task_id": "ct-0f769ebe10"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'melanocyte' is not the name of CL:0000147 ('pigment cell'). 'melanocyte' is the name of CL:0000148 (melanocyte).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000147", "cell_type_label": "melanocyte", "decision": "annotate", "markers": [{"gene": "DCT", "stance": "supports"}, {"gene": "TYRP1", "stance": "supports"}, {"gene": "MLANA", "stance": "supports"}, {"gene": "PMEL", "stance": "supports"}, {"gene": "MITF", "stance": "supports"}, {"gene": "KRT14", "stance": "contradicts"}], "rationale": "The cluster exhibits high expression of classic, canonical melanocyte markers including DCT, TYRP1, MLANA, PMEL, and the master melanocyte transcription factor MITF, strongly indicating it is a melanocyte cluster. The expression of KRT14, a basal keratinocyte marker, is likely due to ambient RNA (which is very common in skin scRNA-seq data due to the abundance of keratinocytes), but it biologically contradicts a pure melanocyte identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 23.8}, {"answer": {"cell_type_id": "CL:0000148", "cell_type_label": "melanocyte", "decision": "annotate", "markers": [{"gene": "DCT", "stance": "supports"}, {"gene": "TYRP1", "stance": "supports"}, {"gene": "MLANA", "stance": "supports"}, {"gene": "PMEL", "stance": "supports"}, {"gene": "MITF", "stance": "supports"}, {"gene": "KRT14", "stance": "contradicts"}], "rationale": "The cluster exhibits high expression of classic, canonical melanocyte markers including DCT, TYRP1, MLANA, PMEL, and the master melanocyte transcription factor MITF, strongly indicating it is a melanocyte cluster. The expression of KRT14, a basal keratinocyte marker, is likely due to ambient RNA (which is very common in skin scRNA-seq data due to the abundance of keratinocytes), but it biologically contradicts a pure melanocyte identity."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'melanocyte' is not the name of CL:0000147 ('pigment cell'). 'melanocyte' is the name of CL:0000148 (melanocyte)."], "seconds": 15.2}], "model": "gemini-pro", "task_id": "ct-1445edf08f"} +{"attempts": [{"codes": ["BEV004"], "evidence": 11, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "enterocyte", "decision": "annotate", "markers": [{"gene": "FABP1", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "CPS1", "stance": "supports"}, {"gene": "GSTA1", "stance": "supports"}, {"gene": "EPCAM", "stance": "supports"}, {"gene": "PIGR", "stance": "supports"}, {"gene": "KRT8", "stance": "supports"}, {"gene": "KRT18", "stance": "supports"}, {"gene": "KRT19", "stance": "supports"}, {"gene": "REG1A", "stance": "contradicts"}, {"gene": "AGR2", "stance": "contradicts"}], "rationale": "This cluster expresses canonical markers of the absorptive enterocyte lineage, including FABP1, RBP2, CPS1, and GSTA1. It also highly expresses general epithelial markers (EPCAM, KRT8, KRT18, KRT19) and functional markers of the small intestinal epithelium (PIGR for IgA transport, and the chemokine CCL25). The robust expression of multiple metallothioneins (MT1G, MT1E, MT1X, MT2A, MT1H) is also consistent with the active metabolic role of enterocytes. \n\nHowever, the top marker REG1A and the presence of AGR2—both of which are typically associated with secretory lineages in the intestine, such as Paneth or goblet cells—could argue against a pure mature absorptive enterocyte state. Still, the absence of classical definitive secretory markers like MUC2 (goblet cells) or DEFA5/DEFA6 (Paneth cells) makes enterocyte (CL:0000584) the most accurate classification."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 51.9}], "model": "gemini-pro", "task_id": "ct-1fed4d68f2"} +{"attempts": [{"codes": [], "evidence": 7, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000192", "cell_type_label": "smooth muscle cell", "decision": "annotate", "markers": [{"gene": "TAGLN", "stance": "supports"}, {"gene": "MYL9", "stance": "supports"}, {"gene": "ACTA2", "stance": "supports"}, {"gene": "TPM2", "stance": "supports"}, {"gene": "CALD1", "stance": "supports"}, {"gene": "RGS5", "stance": "supports"}, {"gene": "MYH11", "stance": "supports"}], "rationale": "This cluster highly expresses canonical markers of smooth muscle cells, particularly genes encoding contractile proteins such as ACTA2 (alpha-smooth muscle actin), MYH11 (smooth muscle myosin heavy chain), TAGLN (transgelin), MYL9 (myosin light chain 9), TPM2 (tropomyosin 2), and CALD1. Additionally, RGS5 is a well-known marker for mural cells (which encompass vascular smooth muscle cells and pericytes). The presence of MYH11 is particularly specific to smooth muscle cells and typically distinguishes them from pericytes, strongly supporting the smooth muscle cell identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 24.8}], "model": "gemini-pro", "task_id": "ct-22fc152fbd"} +{"attempts": [{"codes": ["BEV017"], "evidence": 5, "findings": [{"message": "The label 'type 3 innate lymphoid cell' is not the name of CL:0001071 ('group 3 innate lymphoid cell'). Closest names: CL:0001071 (group 3 innate lymphoid cell); CL:0001065 (innate lymphoid cell); CL:0001069 (group 2 innate lymphoid cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 5, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0001071", "cell_type_label": "type 3 innate lymphoid cell", "decision": "annotate", "markers": [{"gene": "IL7R", "stance": "supports"}, {"gene": "RORC", "stance": "supports"}, {"gene": "KIT", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "TOX2", "stance": "supports"}], "rationale": "The cluster expresses IL7R (CD127), RORC (the master transcription factor for ILC3s), and KIT (CD117), which collectively form the canonical gene signature for type 3 innate lymphoid cells (ILC3s). The expression of genes such as LTB, LTA, TOX2, and IL4I1 is also characteristic of the ILC3 profile. The lack of standard T-cell markers (e.g., CD3 complex genes) among the top markers supports an innate lymphoid identity over Th17 cells, which would otherwise share the RORC+ signature."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 28.7}, {"answer": {"cell_type_id": "CL:0001071", "cell_type_label": "group 3 innate lymphoid cell", "decision": "annotate", "markers": [{"gene": "IL7R", "stance": "supports"}, {"gene": "RORC", "stance": "supports"}, {"gene": "KIT", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "TOX2", "stance": "supports"}], "rationale": "The cluster expresses IL7R (CD127), RORC (the master transcription factor for ILC3s), and KIT (CD117), which collectively form the canonical gene signature for group 3 innate lymphoid cells (ILC3s). The expression of genes such as LTB, LTA, TOX2, and IL4I1 is also characteristic of the ILC3 profile. The lack of standard T-cell markers (e.g., CD3 complex genes) among the top markers supports an innate lymphoid identity over Th17 cells, which would otherwise share the RORC+ signature."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'type 3 innate lymphoid cell' is not the name of CL:0001071 ('group 3 innate lymphoid cell'). Closest names: CL:0001071 (group 3 innate lymphoid cell); CL:0001065 (innate lymphoid cell); CL:0001069 (group 2 innate lymphoid cell)."], "seconds": 13.3}], "model": "gemini-pro", "task_id": "ct-307f739343"} +{"attempts": [{"codes": [], "evidence": 5, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000171", "cell_type_label": "pancreatic A cell", "decision": "annotate", "markers": [{"gene": "GCG", "stance": "supports"}, {"gene": "IRX2", "stance": "supports"}, {"gene": "PCSK2", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}], "rationale": "The cluster exhibits extremely high expression of GCG (glucagon), the canonical and definitive marker for pancreatic alpha cells (pancreatic A cells). It also expresses IRX2, a transcription factor that is specifically enriched in alpha cells within the pancreatic islets. The presence of CHGA, CHGB, SCG2, SCG5, and PCSK2 confirms the general neuroendocrine identity of the cells. The absence of other major islet hormones like INS (beta cells) or SST (delta cells) among the top markers further solidifies the assignment as pancreatic alpha cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 23.7}], "model": "gemini-pro", "task_id": "ct-32e6a3a16d"} +{"attempts": [{"codes": [], "evidence": 9, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000115", "cell_type_label": "endothelial cell", "decision": "annotate", "markers": [{"gene": "PLVAP", "stance": "supports"}, {"gene": "RNASE1", "stance": "supports"}, {"gene": "CAVIN2", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "RGCC", "stance": "supports"}, {"gene": "RAMP3", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}], "rationale": "The cluster strongly expresses canonical endothelial cell markers, including PLVAP, RNASE1, CAVIN2, TM4SF1, GNG11, RGCC, and RAMP3. Specifically, PLVAP is a well-known marker for fenestrated capillary endothelial cells, which are abundant in the kidney (e.g., peritubular capillaries and vasa recta). Additionally, renal microvascular endothelial cells are known to express high levels of MHC class II molecules, which accounts for the prominent appearance of CD74, HLA-DRB1, and other HLA genes among the top markers. None of the listed top markers contradict an endothelial identity in this context."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 28.0}], "model": "gemini-pro", "task_id": "ct-32f05dbab5"} +{"attempts": [{"codes": [], "evidence": 13, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000451", "cell_type_label": "dendritic cell", "decision": "annotate", "markers": [{"gene": "HLA-DRA", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}, {"gene": "HLA-DPB1", "stance": "supports"}, {"gene": "HLA-DPA1", "stance": "supports"}, {"gene": "HLA-DQA1", "stance": "supports"}, {"gene": "HLA-DQB1", "stance": "supports"}, {"gene": "FCER1A", "stance": "supports"}, {"gene": "LYZ", "stance": "supports"}, {"gene": "AIF1", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}, {"gene": "CST3", "stance": "supports"}], "rationale": "The cluster expresses very high levels of MHC class II genes (HLA-DRA, HLA-DRB1, HLA-DPB1, HLA-DPA1, HLA-DQA1, HLA-DQB1) and the invariant chain CD74, which are characteristic of professional antigen-presenting cells. The presence of FCER1A (a classic marker for cDC2 cells in human tissues), along with myeloid/DC markers LYZ, AIF1, TYROBP, FCER1G, and CST3, strongly identifies these cells as dendritic cells. There are no prominent markers suggesting an alternative identity such as B cells (which would express MS4A1/CD20) or mast cells (which would lack high MHC class II expression)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 27.4}], "model": "gemini-pro", "task_id": "ct-3385c5a4a1"} +{"attempts": [{"codes": [], "evidence": 12, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002064", "cell_type_label": "pancreatic acinar cell", "decision": "annotate", "markers": [{"gene": "REG1A", "stance": "supports"}, {"gene": "REG3A", "stance": "supports"}, {"gene": "REG1B", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "CTRB2", "stance": "supports"}, {"gene": "PRSS1", "stance": "supports"}, {"gene": "PNLIP", "stance": "supports"}, {"gene": "PLA2G1B", "stance": "supports"}, {"gene": "CPB1", "stance": "supports"}, {"gene": "CPA1", "stance": "supports"}, {"gene": "CPA2", "stance": "supports"}, {"gene": "CEL", "stance": "supports"}], "rationale": "The cluster exhibits robust expression of classical pancreatic acinar cell markers, including genes encoding for digestive enzymes (PRSS1, CTRB2, PNLIP, PLA2G1B, CPB1, CPA1, CPA2, CEL) and other characteristic acinar secretory proteins (REG1A, REG1B, REG3A, SPINK1). The marker profile strongly and unambiguously supports the identification of this cluster as pancreatic acinar cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 28.2}], "model": "gemini-pro", "task_id": "ct-36d56001f7"} +{"attempts": [{"codes": ["BEV004"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0005011", "cell_type_label": "type A intercalated cell", "decision": "annotate", "markers": [{"gene": "SLC4A1", "stance": "supports"}, {"gene": "ATP6V0D2", "stance": "supports"}, {"gene": "SLC26A7", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "TMEM213", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "CALB1", "stance": "contradicts"}, {"gene": "HSD11B2", "stance": "contradicts"}], "rationale": "The cluster expresses classic and highly specific markers for type A intercalated cells of the kidney collecting duct, including the basolateral chloride/bicarbonate exchangers SLC4A1 (AE1) and SLC26A7, the V-ATPase subunit ATP6V0D2, and the ammonia transporter RHCG. TMEM213 and CA12 further support the intercalated cell identity. However, the cluster also exhibits strong expression of CALB1 and HSD11B2, which are typically restricted to principal cells and connecting tubule (CNT) cells. This co-expression may represent a specific subpopulation (e.g., type A intercalated cells residing in the connecting tubule), transitional cells, or technical artifacts such as doublets or ambient RNA from neighboring principal cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 47.3}], "model": "gemini-pro", "task_id": "ct-3cbc7c57fd"} +{"attempts": [{"codes": [], "evidence": 8, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000084", "cell_type_label": "T cell", "decision": "annotate", "markers": [{"gene": "CD3D", "stance": "supports"}, {"gene": "TRAC", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "NKG7", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "CD52", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}], "rationale": "The cluster expresses highly specific and definitive markers for T cells, notably CD3D (a component of the T-cell receptor-CD3 complex) and TRAC (T-cell receptor alpha constant). Additionally, the cluster expresses markers indicative of an effector or cytotoxic phenotype commonly seen in T cells (and NK cells), such as CCL5, IL32, NKG7, GZMA, and HCST. CD52 is also a classic lymphocyte antigen. There are no markers in the provided list that contradict this T cell annotation, as the remaining genes (like MALAT1, TMSB4X, RPS3, and HLA genes) are broadly expressed."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 28.8}], "model": "gemini-pro", "task_id": "ct-3f2898af5e"} +{"attempts": [{"codes": [], "evidence": 9, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000057", "cell_type_label": "fibroblast", "decision": "annotate", "markers": [{"gene": "DCN", "stance": "supports"}, {"gene": "COL1A1", "stance": "supports"}, {"gene": "COL1A2", "stance": "supports"}, {"gene": "COL3A1", "stance": "supports"}, {"gene": "COL6A2", "stance": "supports"}, {"gene": "LUM", "stance": "supports"}, {"gene": "FBLN1", "stance": "supports"}, {"gene": "MMP2", "stance": "supports"}, {"gene": "SFRP2", "stance": "supports"}], "rationale": "The cluster expresses canonical markers of fibroblasts, particularly extracellular matrix components heavily produced by these cells. These include collagens (COL1A1, COL1A2, COL3A1, COL6A2) and proteoglycans like decorin (DCN) and lumican (LUM). Additional expression of FBLN1, MMP2, and SFRP2 further strongly supports a fibroblast identity within the skin. There are no markers contradicting this annotation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 20.7}], "model": "gemini-pro", "task_id": "ct-5e18af843a"} +{"attempts": [{"codes": [], "evidence": 7, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000169", "cell_type_label": "type B pancreatic cell", "decision": "annotate", "markers": [{"gene": "INS", "stance": "supports"}, {"gene": "IAPP", "stance": "supports"}, {"gene": "PDX1", "stance": "supports"}, {"gene": "MAFA", "stance": "supports"}, {"gene": "ABCC8", "stance": "supports"}, {"gene": "G6PC2", "stance": "supports"}, {"gene": "PCSK1", "stance": "supports"}], "rationale": "The cluster is defined by the very high expression of INS (Insulin), which is the canonical hormone uniquely produced by pancreatic beta cells. IAPP (Islet Amyloid Polypeptide) is co-secreted with insulin. Additionally, the cluster expresses critical beta-cell transcription factors such as PDX1 and MAFA, which are essential for beta cell maturation and insulin gene expression. Other supporting markers include ABCC8 (a subunit of the KATP channel regulating insulin secretion), G6PC2 (an islet-specific protein), and PCSK1 (an enzyme that processes proinsulin into mature insulin). There are no markers in the top list that contradict this assignment (such as GCG for alpha cells or SST for delta cells)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 22.2}], "model": "gemini-pro", "task_id": "ct-6ea69bcccb"} +{"attempts": [{"codes": [], "evidence": 12, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000164", "cell_type_label": "enteroendocrine cell", "decision": "annotate", "markers": [{"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "NEUROD1", "stance": "supports"}, {"gene": "SCT", "stance": "supports"}, {"gene": "MLN", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "INSM1", "stance": "supports"}, {"gene": "PCSK1N", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}, {"gene": "CPE", "stance": "supports"}, {"gene": "FEV", "stance": "supports"}], "rationale": "The cluster exhibits high expression of canonical pan-enteroendocrine markers, including chromogranins (CHGA, CHGB) and secretogranins (SCG2, SCG5, SCGN). It also expresses essential neuroendocrine transcription factors like NEUROD1 and INSM1. The presence of specific hormones such as SCT (secretin) and MLN (motilin) further confirms the identity of these cells as enteroendocrine cells of the duodenum."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 21.1}], "model": "gemini-pro", "task_id": "ct-76f0318d60"} +{"attempts": [{"codes": ["BEV025"], "evidence": 15, "findings": [{"message": "The ASCT+B reference lists CCL3 as a marker of CL:4033041 (CCL3-positive alveolar macrophage), cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 7 (cluster=c09;gene=CCL3)"}, {"message": "The ASCT+B reference lists FCER1G as a marker of CL:0000767 (basophil); CL:0000775 (neutrophil); CL:0000784 (plasmacytoid dendritic cell) and 5 more, cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 11 (cluster=c09;gene=FCER1G)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000623", "cell_type_label": "natural killer cell", "decision": "annotate", "markers": [{"gene": "NKG7", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "CD7", "stance": "supports"}, {"gene": "KLRD1", "stance": "supports"}, {"gene": "CCL4", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "CCL3", "stance": "supports"}, {"gene": "KLRF1", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}, {"gene": "SRGN", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "XCL2", "stance": "supports"}, {"gene": "IL2RB", "stance": "supports"}], "rationale": "The cluster's top differentially expressed genes clearly indicate a natural killer (NK) cell identity. It robustly expresses hallmark killer cell lectin-like receptors such as KLRB1 (CD161), KLRD1 (CD94), and especially KLRF1 (NKp80), which is highly specific to NK cells. The presence of cytotoxic effector molecules (GZMA, NKG7), characteristic chemokines secreted by activated NK cells (CCL3, CCL4, CCL5, XCL2), and essential signaling adapter proteins for NK activating receptors (TYROBP/DAP12, HCST/DAP10, FCER1G) further solidify this annotation. Additionally, IL2RB (CD122) is critical for NK cell development and responsiveness, and CD7 is typically present on both NK and T cells. No top marker genes argue against an NK cell assignment."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 29.9}], "model": "gemini-pro", "task_id": "ct-992627e517"} +{"attempts": [{"codes": ["BEV004", "BEV025"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The ASCT+B reference lists GATA3 as a marker of CL:1000454 (kidney collecting duct epithelial cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell) and 2 more, cell types disjoint from CL:0000546.", "rule_id": "BEV025", "where": "evidence 1 (cluster=c11;gene=GATA3)"}, {"message": "The ASCT+B reference lists HPGDS as a marker of CL:0002079 (pancreatic ductal cell), cell types disjoint from CL:0000546.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c11;gene=HPGDS)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000546", "cell_type_label": "T helper 2 cell", "decision": "annotate", "markers": [{"gene": "GATA3", "stance": "supports"}, {"gene": "PTGDR2", "stance": "supports"}, {"gene": "HPGDS", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "TESPA1", "stance": "supports"}, {"gene": "KRT1", "stance": "contradicts"}], "rationale": "The cluster is defined by the classical Th2/ILC2 markers GATA3 (the master transcription factor for type 2 immunity) and PTGDR2 (also known as CRTH2, the canonical surface marker for these cells). HPGDS is also highly characteristic of type 2 lymphocytes. The distinction between ILC2s and Th2 cells is made clear by the ubiquitous expression of IL32 (a canonical T cell marker) and TESPA1 (a gene fundamentally involved in T cell receptor signaling), which strongly support a T helper 2 cell identity over an ILC2 identity. KRT1 is an epidermal/epithelial keratin and its presence contradicts a lymphoid identity, likely representing ambient RNA contamination or a doublet artifact."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 37.3}], "model": "gemini-pro", "task_id": "ct-a53a01a447"} +{"attempts": [{"codes": [], "evidence": 6, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000115", "cell_type_label": "endothelial cell", "decision": "annotate", "markers": [{"gene": "RAMP2", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "AQP1", "stance": "supports"}, {"gene": "VIM", "stance": "supports"}, {"gene": "TIMP3", "stance": "supports"}, {"gene": "IFI27", "stance": "supports"}], "rationale": "The cluster exhibits distinct expression of canonical endothelial markers such as RAMP2 and TM4SF1, along with the mesenchymal/endothelial marker VIM. The high expression of AQP1 (Aquaporin-1) is particularly informative; while it is widely known as a proximal tubule marker, it is also highly expressed in the descending vasa recta (DVR) endothelial cells in the kidney. The complete absence of standard proximal tubule markers (like LRP2 or CUBN) paired with endothelial gene expression confirms this cluster represents DVR endothelial cells. Furthermore, TIMP3 and IFI27 are enriched in renal endothelial subsets. Other genes like FOS, JUNB, and EGR1 are immediate early genes typically upregulated by the stress of single-cell dissociation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 28.0}], "model": "gemini-pro", "task_id": "ct-c22bc01239"} +{"attempts": [{"codes": ["BEV025"], "evidence": 5, "findings": [{"message": "The ASCT+B reference lists KLRB1 as a marker of CL:0000940 (mucosal invariant T cell), cell types disjoint from CL:0000798.", "rule_id": "BEV025", "where": "evidence 4 (cluster=c06;gene=KLRB1)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000798", "cell_type_label": "gamma-delta T cell", "decision": "annotate", "markers": [{"gene": "TRDV2", "stance": "supports"}, {"gene": "CD3E", "stance": "supports"}, {"gene": "IL7R", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "NCR3", "stance": "supports"}], "rationale": "The expression of CD3E confirms this cluster represents a T cell population. The specific expression of TRDV2 (T cell receptor delta variable 2) is a defining marker for the Vgamma9Vdelta2 subset of gamma-delta T cells. High expression of IL7R, KLRB1 (CD161), NCR3 (NKp30), and CCR6 are all highly characteristic of gamma-delta T cell populations, particularly in mucosal or tissue environments like the lung."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 26.6}], "model": "gemini-pro", "task_id": "ct-c84f57496a"} +{"attempts": [], "calls": [{"answer": {"cell_type_id": "unknown", "cell_type_label": "unknown", "decision": "uncertain", "markers": [{"gene": "MKI67", "stance": "supports"}, {"gene": "TOP2A", "stance": "supports"}, {"gene": "CDK1", "stance": "supports"}, {"gene": "TYMS", "stance": "supports"}, {"gene": "UBE2C", "stance": "supports"}, {"gene": "CENPF", "stance": "supports"}], "rationale": "The provided top marker genes (including MKI67, TOP2A, TYMS, CDK1, UBE2C, and CENPF) are all canonical markers of the cell cycle, mitosis, and proliferation. There are no clear lineage-specific markers (e.g., canonical markers for epithelial, immune, endothelial, or mesenchymal lineages) present among the top differentially expressed genes. In single-cell RNA-seq data, actively dividing cells frequently group together into a distinct cluster driven by their shared, overwhelming proliferation transcriptional program, particularly if cell cycle effects are not regressed out. Because these markers indicate a cell state (proliferation) rather than identifying a specific cellular identity or lineage, the true cell type of this cluster cannot be determined from these markers alone."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 34.4}], "model": "gemini-pro", "task_id": "ct-c8e68f267e"} +{"attempts": [{"codes": ["BEV017"], "evidence": 6, "findings": [{"message": "The label 'kidney connecting tubule epithelial cell' is not the name of CL:1001431 ('kidney collecting duct principal cell'). 'kidney connecting tubule epithelial cell' is the name of CL:1000768 (kidney connecting tubule epithelial cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 6, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:1001431", "cell_type_label": "kidney connecting tubule epithelial cell", "decision": "annotate", "markers": [{"gene": "CALB1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "KLK1", "stance": "supports"}, {"gene": "TMEM52B", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}], "rationale": "The cluster is characterized by high expression of CALB1, HSD11B2, KLK1, and DEFB1, which together form a highly specific signature for connecting tubule (CNT) cells in the kidney. CALB1 is a classic marker for the distal convoluted tubule and connecting tubule, while HSD11B2 marks the aldosterone-sensitive distal nephron (connecting tubule and collecting duct principal cells). The combination of these two, along with KLK1 and TMEM52B, strongly identifies these cells as connecting tubule epithelial cells. (Note: CNT cells are functionally and developmentally closely related to collecting duct principal cells, and sometimes they share ontology nodes or are annotated similarly, but this specific marker profile is classically CNT)."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 57.5}, {"answer": {"cell_type_id": "CL:1000768", "cell_type_label": "kidney connecting tubule epithelial cell", "decision": "annotate", "markers": [{"gene": "CALB1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "KLK1", "stance": "supports"}, {"gene": "TMEM52B", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}], "rationale": "The cluster is characterized by high expression of CALB1, HSD11B2, KLK1, and DEFB1, which together form a highly specific signature for connecting tubule (CNT) cells in the kidney. CALB1 is a classic marker for the distal convoluted tubule and connecting tubule, while HSD11B2 marks the aldosterone-sensitive distal nephron (connecting tubule and collecting duct principal cells). The combination of these two, along with KLK1 and TMEM52B, strongly identifies these cells as kidney connecting tubule epithelial cells."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'kidney connecting tubule epithelial cell' is not the name of CL:1001431 ('kidney collecting duct principal cell'). 'kidney connecting tubule epithelial cell' is the name of CL:1000768 (kidney connecting tubule epithelial cell)."], "seconds": 18.9}], "model": "gemini-pro", "task_id": "ct-e7cab67ae5"} +{"attempts": [{"codes": [], "evidence": 8, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002079", "cell_type_label": "pancreatic ductal cell", "decision": "annotate", "markers": [{"gene": "CFTR", "stance": "supports"}, {"gene": "SLC4A4", "stance": "supports"}, {"gene": "SPP1", "stance": "supports"}, {"gene": "TACSTD2", "stance": "supports"}, {"gene": "MMP7", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "CD24", "stance": "supports"}, {"gene": "ONECUT2", "stance": "supports"}], "rationale": "The cluster exhibits very strong and specific expression of canonical pancreatic ductal cell markers. Specifically, CFTR (cystic fibrosis transmembrane conductance regulator) and SLC4A4 (sodium bicarbonate cotransporter) are essential for the primary physiological function of pancreatic ductal cells, which is the secretion of bicarbonate-rich fluid. Furthermore, several well-known structural and surface markers highly enriched in the pancreatic ductal epithelium, such as SPP1, TACSTD2, MMP7, TM4SF1, and CD24, are among the top differentially expressed genes. There is a notable absence of markers corresponding to other pancreatic cell populations such as acinar (e.g., PRSS1, AMY2A) or endocrine cells (e.g., INS, GCG), solidly confirming the ductal cell identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 24.2}], "model": "gemini-pro", "task_id": "ct-ee90c8cca6"} +{"attempts": [{"codes": [], "evidence": 18, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000182", "cell_type_label": "hepatocyte", "decision": "annotate", "markers": [{"gene": "APOC3", "stance": "supports"}, {"gene": "APOA2", "stance": "supports"}, {"gene": "APOC1", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "FGA", "stance": "supports"}, {"gene": "ORM1", "stance": "supports"}, {"gene": "HP", "stance": "supports"}, {"gene": "ALB", "stance": "supports"}, {"gene": "FGB", "stance": "supports"}, {"gene": "RBP4", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "TF", "stance": "supports"}, {"gene": "AMBP", "stance": "supports"}, {"gene": "SERPINA1", "stance": "supports"}, {"gene": "ORM2", "stance": "supports"}, {"gene": "CYP2E1", "stance": "supports"}, {"gene": "FGG", "stance": "supports"}, {"gene": "APOH", "stance": "supports"}], "rationale": "The cluster's top marker genes are classically indicative of hepatocytes, the main parenchymal cells of the liver. The presence of genes encoding major blood plasma proteins (albumin [ALB], apolipoproteins [APOC3, APOA2, APOC1, APOA1, APOH], fibrinogen chains [FGA, FGB, FGG], transferrin [TF], and transthyretin [TTR]) strongly supports this annotation. Additionally, the cluster expresses hepatocyte-specific phase I drug metabolizing enzymes like CYP2E1. There are no notable contradicting markers."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 24.5}], "model": "gemini-pro", "task_id": "ct-fa6e0d282d"} +{"attempts": [{"codes": [], "evidence": 9, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:1000398", "cell_type_label": "endothelial cell of hepatic sinusoid", "decision": "annotate", "markers": [{"gene": "FCN3", "stance": "supports"}, {"gene": "FCN2", "stance": "supports"}, {"gene": "DNASE1L3", "stance": "supports"}, {"gene": "CCL14", "stance": "supports"}, {"gene": "CRHBP", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "CLDN5", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "TFPI", "stance": "supports"}], "rationale": "The endothelial signature (CLDN5, GNG11, TM4SF1, TFPI), combined with FCN2, FCN3, DNASE1L3, CCL14 and CRHBP, supports liver sinusoidal endothelial cells. No listed marker clearly contradicts this identity. Canonical sinusoidal markers CLEC4G, STAB2 and LYVE1 are not listed, but absence from a top-marker list does not establish lack of expression."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 51.5}], "model": "gpt-astra", "task_id": "ct-04aaea9940"} +{"attempts": [{"codes": [], "evidence": 13, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "enterocyte", "decision": "annotate", "markers": [{"gene": "ALDOB", "stance": "supports"}, {"gene": "APOA4", "stance": "supports"}, {"gene": "FABP1", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "ANPEP", "stance": "supports"}, {"gene": "TMPRSS15", "stance": "supports"}, {"gene": "SLC26A3", "stance": "supports"}, {"gene": "FABP2", "stance": "supports"}, {"gene": "CDHR5", "stance": "supports"}, {"gene": "SI", "stance": "supports"}, {"gene": "APOB", "stance": "supports"}, {"gene": "SLC5A1", "stance": "supports"}], "rationale": "The markers strongly identify mature absorptive enterocytes: SI, ANPEP and TMPRSS15 support brush-border digestion; SLC5A1 supports glucose absorption; and FABP1, FABP2, RBP2 and apolipoproteins support intestinal lipid and retinoid handling. Their widespread expression within the cluster supports a coherent enterocyte identity consistent with duodenum. None of the listed markers clearly argues against this annotation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 52.9}], "model": "gpt-astra", "task_id": "ct-085bedbfa5"} +{"attempts": [{"codes": ["BEV004"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002250", "cell_type_label": "intestinal crypt stem cell", "decision": "annotate", "markers": [{"gene": "OLFM4", "stance": "supports"}, {"gene": "HMGA1", "stance": "supports"}, {"gene": "SLC12A2", "stance": "supports"}, {"gene": "IGFBP2", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "REG3A", "stance": "contradicts"}], "rationale": "The strong, nearly ubiquitous OLFM4 expression, together with HMGA1, SLC12A2 and IGFBP2, favors intestinal crypt stem/progenitor cells. REG1A supports a crypt-associated regenerative phenotype but is not stem-cell-specific. REG3A is a weak counter-indicator suggesting Paneth-like antimicrobial differentiation; however, canonical Paneth markers DEFA5, DEFA6 and LYZ are not among the supplied top markers. Confidence is moderate: this list cannot cleanly distinguish stem cells from their immediate progenitor descendants."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 42.0}], "model": "gpt-astra", "task_id": "ct-0f769ebe10"} +{"attempts": [{"codes": ["BEV004"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000148", "cell_type_label": "melanocyte", "decision": "annotate", "markers": [{"gene": "DCT", "stance": "supports"}, {"gene": "TYRP1", "stance": "supports"}, {"gene": "MLANA", "stance": "supports"}, {"gene": "PMEL", "stance": "supports"}, {"gene": "MITF", "stance": "supports"}, {"gene": "GPNMB", "stance": "supports"}, {"gene": "KRT14", "stance": "contradicts"}], "rationale": "The coordinated enrichment of melanin-synthesis genes DCT and TYRP1, melanosome markers MLANA and PMEL, and the melanocyte regulator MITF strongly identifies melanocytes. KRT14 is a weak conflicting keratinocyte-associated signal, potentially reflecting ambient RNA or doublets; it does not outweigh the specific melanocyte signature. PLP1 expression alone does not establish a competing glial identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 43.1}], "model": "gpt-astra", "task_id": "ct-1445edf08f"} +{"attempts": [{"codes": [], "evidence": 8, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "enterocyte", "decision": "annotate", "markers": [{"gene": "RBP2", "stance": "supports"}, {"gene": "FABP1", "stance": "supports"}, {"gene": "CPS1", "stance": "supports"}, {"gene": "GSTA1", "stance": "supports"}, {"gene": "LGALS4", "stance": "supports"}, {"gene": "EPCAM", "stance": "supports"}, {"gene": "KRT8", "stance": "supports"}, {"gene": "KRT18", "stance": "supports"}], "rationale": "RBP2, FABP1, CPS1 and GSTA1 support a duodenal absorptive enterocyte identity; LGALS4 and epithelial markers reinforce it. REG1A, DMBT1 and AGR2 suggest a secretory or regenerative program but do not clearly contradict enterocyte identity. No listed marker strongly argues against this annotation; the precise maturation or functional subtype remains unresolved."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 40.7}], "model": "gpt-astra", "task_id": "ct-1fed4d68f2"} +{"attempts": [{"codes": [], "evidence": 6, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000192", "cell_type_label": "smooth muscle cell", "decision": "annotate", "markers": [{"gene": "MYH11", "stance": "supports"}, {"gene": "ACTA2", "stance": "supports"}, {"gene": "TAGLN", "stance": "supports"}, {"gene": "MYL9", "stance": "supports"}, {"gene": "TPM2", "stance": "supports"}, {"gene": "CALD1", "stance": "supports"}], "rationale": "The coordinated contractile program, particularly MYH11 together with strong TAGLN, ACTA2 and MYL9 enrichment, supports smooth muscle cells. RGS5 suggests a mural-cell identity and raises pericytes as an alternative, but does not contradict smooth muscle identity. No listed marker strongly argues against this annotation. These markers do not establish a specific anatomical smooth-muscle subtype."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 40.3}], "model": "gpt-astra", "task_id": "ct-22fc152fbd"} +{"attempts": [{"codes": ["BEV004"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0001071", "cell_type_label": "group 3 innate lymphoid cell", "decision": "annotate", "markers": [{"gene": "RORC", "stance": "supports"}, {"gene": "IL7R", "stance": "supports"}, {"gene": "KIT", "stance": "supports"}, {"gene": "ZBTB16", "stance": "supports"}, {"gene": "TOX2", "stance": "supports"}, {"gene": "LTA", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "LST1", "stance": "contradicts"}], "rationale": "The combined RORC, IL7R and KIT signature strongly supports ILC3 identity, with ZBTB16 supporting an innate lymphoid program and LTA/LTB consistent with lymphoid tissue signaling. LST1 is a myeloid-associated caution, although not decisive against ILC3. IL4I1 also overlaps with antigen-presenting cells. These top markers support ILC3 annotation but do not establish a narrower subtype or exclude mixed cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 60.4}], "model": "gpt-astra", "task_id": "ct-307f739343"} +{"attempts": [{"codes": [], "evidence": 8, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000171", "cell_type_label": "pancreatic A cell", "decision": "annotate", "markers": [{"gene": "GCG", "stance": "supports"}, {"gene": "GC", "stance": "supports"}, {"gene": "IRX2", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "TM4SF4", "stance": "supports"}, {"gene": "PCSK2", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}], "rationale": "This is a pancreatic alpha (A) cell cluster. Strong GCG enrichment, together with GC, IRX2, TTR and TM4SF4, supports alpha-cell identity; PCSK2 and chromogranins support endocrine secretory function. No listed marker clearly contradicts this annotation. GCG detection outside the cluster does not negate its strong expression enrichment within it."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 32.9}], "model": "gpt-astra", "task_id": "ct-32e6a3a16d"} +{"attempts": [{"codes": [], "evidence": 7, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000115", "cell_type_label": "endothelial cell", "decision": "annotate", "markers": [{"gene": "PLVAP", "stance": "supports"}, {"gene": "RNASE1", "stance": "supports"}, {"gene": "CAVIN2", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "RGCC", "stance": "supports"}, {"gene": "RAMP3", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}], "rationale": "The coherent vascular endothelial signature strongly supports endothelial cells. PLVAP suggests fenestrated renal microvascular endothelium, potentially peritubular capillaries, but the precise subtype is less certain. No listed marker clearly contradicts this identity. CD74 and HLA-DRB1 indicate antigen-presentation activity and can occur in activated endothelial cells; they do not outweigh the endothelial signature."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 47.0}], "model": "gpt-astra", "task_id": "ct-32f05dbab5"} +{"attempts": [{"codes": [], "evidence": 10, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000451", "cell_type_label": "dendritic cell", "decision": "annotate", "markers": [{"gene": "FCER1A", "stance": "supports"}, {"gene": "HLA-DRA", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}, {"gene": "HLA-DPA1", "stance": "supports"}, {"gene": "HLA-DPB1", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "GPR183", "stance": "supports"}, {"gene": "LYZ", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}], "rationale": "FCER1A together with strong MHC class II/CD74 expression and myeloid markers supports dendritic cells, likely a conventional DC2-like population. These markers overlap with other myeloid antigen-presenting cells, so a narrower subtype is not established. CXCL8 suggests inflammatory activation rather than contradicting the annotation. No listed marker clearly argues against dendritic cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 120.8}], "model": "gpt-astra", "task_id": "ct-3385c5a4a1"} +{"attempts": [{"codes": [], "evidence": 12, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002064", "cell_type_label": "pancreatic acinar cell", "decision": "annotate", "markers": [{"gene": "PRSS1", "stance": "supports"}, {"gene": "CTRB2", "stance": "supports"}, {"gene": "PNLIP", "stance": "supports"}, {"gene": "PLA2G1B", "stance": "supports"}, {"gene": "CPB1", "stance": "supports"}, {"gene": "CPA1", "stance": "supports"}, {"gene": "CPA2", "stance": "supports"}, {"gene": "CEL", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "REG1B", "stance": "supports"}, {"gene": "REG3A", "stance": "supports"}], "rationale": "The coordinated enrichment of pancreatic digestive enzymes, expressed in nearly all cluster cells, strongly identifies pancreatic acinar cells. REG genes and SPINK1 reinforce this assignment. OLFM4, DUOX2 and CD24 may reflect epithelial activation or a regenerative state, but do not outweigh the acinar program. None of the supplied markers clearly contradict this identity; a more specific cell state cannot be established from this list alone."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 44.6}], "model": "gpt-astra", "task_id": "ct-36d56001f7"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'type A intercalated cell of collecting duct of renal tubule' is not the name of CL:0002200 ('oxyphil cell of thyroid').", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004", "BEV017"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'renal alpha-intercalated cell' is not the name of CL:0005010 ('renal intercalated cell'). 'renal alpha-intercalated cell' is the name of CL:0005011 (renal alpha-intercalated cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002200", "cell_type_label": "type A intercalated cell of collecting duct of renal tubule", "decision": "annotate", "markers": [{"gene": "SLC4A1", "stance": "supports"}, {"gene": "SLC26A7", "stance": "supports"}, {"gene": "ATP6V0D2", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "CALB1", "stance": "contradicts"}, {"gene": "HSD11B2", "stance": "contradicts"}], "rationale": "SLC4A1 and SLC26A7 strongly identify type A (alpha) intercalated cells, supported by the proton-pump component ATP6V0D2 and ammonia transporter RHCG. These markers occur in 93–99% of cluster cells, indicating a coherent acid-secreting phenotype. CALB1 and HSD11B2 are more typical of other distal-nephron epithelial populations and provide mild conflicting evidence, but do not outweigh the type A marker combination. Mitochondrial genes are not cell-type-specific."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 60.3}, {"answer": {"cell_type_id": "CL:0005010", "cell_type_label": "renal alpha-intercalated cell", "decision": "annotate", "markers": [{"gene": "SLC4A1", "stance": "supports"}, {"gene": "SLC26A7", "stance": "supports"}, {"gene": "ATP6V0D2", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "CALB1", "stance": "contradicts"}, {"gene": "HSD11B2", "stance": "contradicts"}], "rationale": "SLC4A1 and SLC26A7 identify acid-secreting alpha-intercalated cells, supported by ATP6V0D2, RHCG and CA12. CALB1 and HSD11B2 favor other distal-nephron populations and constitute mild conflicting evidence, but the strong, widespread alpha-intercalated marker combination supports annotation. The previous ontology identifier was incorrect."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'type A intercalated cell of collecting duct of renal tubule' is not the name of CL:0002200 ('oxyphil cell of thyroid')."], "seconds": 33.5}, {"answer": {"cell_type_id": "CL:0005011", "cell_type_label": "renal alpha-intercalated cell", "decision": "annotate", "markers": [{"gene": "SLC4A1", "stance": "supports"}, {"gene": "SLC26A7", "stance": "supports"}, {"gene": "ATP6V0D2", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "CALB1", "stance": "contradicts"}, {"gene": "HSD11B2", "stance": "contradicts"}], "rationale": "Strong, widespread SLC4A1 and SLC26A7 expression supports acid-secreting renal alpha-intercalated cells, reinforced by ATP6V0D2, RHCG and CA12. CALB1 and HSD11B2 favor other distal-nephron populations and provide mild conflicting evidence, but do not outweigh the alpha-intercalated signature. The corrected Cell Ontology identifier is CL:0005011."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'renal alpha-intercalated cell' is not the name of CL:0005010 ('renal intercalated cell'). 'renal alpha-intercalated cell' is the name of CL:0005011 (renal alpha-intercalated cell)."], "seconds": 35.4}], "model": "gpt-astra", "task_id": "ct-3cbc7c57fd"} +{"attempts": [{"codes": [], "evidence": 6, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000910", "cell_type_label": "cytotoxic T cell", "decision": "annotate", "markers": [{"gene": "CD3D", "stance": "supports"}, {"gene": "TRAC", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}, {"gene": "NKG7", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}], "rationale": "CD3D and TRAC strongly support T-cell identity, while CCL5, NKG7 and GZMA support a cytotoxic phenotype. NKG7 is also expressed by NK cells, but the strong T-cell receptor signature favors cytotoxic T cells. No listed marker clearly contradicts this annotation. The supplied markers do not establish CD8 expression or a finer subtype."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 38.2}], "model": "gpt-astra", "task_id": "ct-3f2898af5e"} +{"attempts": [{"codes": [], "evidence": 11, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000057", "cell_type_label": "fibroblast", "decision": "annotate", "markers": [{"gene": "DCN", "stance": "supports"}, {"gene": "LUM", "stance": "supports"}, {"gene": "COL1A1", "stance": "supports"}, {"gene": "COL1A2", "stance": "supports"}, {"gene": "COL3A1", "stance": "supports"}, {"gene": "COL6A2", "stance": "supports"}, {"gene": "FBLN1", "stance": "supports"}, {"gene": "SFRP2", "stance": "supports"}, {"gene": "CXCL14", "stance": "supports"}, {"gene": "CFD", "stance": "supports"}, {"gene": "SERPINF1", "stance": "supports"}], "rationale": "Strong, coordinated expression of extracellular-matrix genes DCN, LUM, and multiple collagens identifies dermal fibroblasts. SFRP2, CXCL14, CFD, and SERPINF1 reinforce this interpretation in human skin. No supplied markers clearly contradict it. A finer fibroblast subtype cannot be assigned confidently from this list alone."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 38.0}], "model": "gpt-astra", "task_id": "ct-5e18af843a"} +{"attempts": [{"codes": [], "evidence": 8, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000169", "cell_type_label": "type B pancreatic cell", "decision": "annotate", "markers": [{"gene": "INS", "stance": "supports"}, {"gene": "IAPP", "stance": "supports"}, {"gene": "PDX1", "stance": "supports"}, {"gene": "MAFA", "stance": "supports"}, {"gene": "G6PC2", "stance": "supports"}, {"gene": "PCSK1", "stance": "supports"}, {"gene": "ABCC8", "stance": "supports"}, {"gene": "HADH", "stance": "supports"}], "rationale": "This is a pancreatic beta-cell cluster. Strong INS and IAPP enrichment, together with PDX1, MAFA and G6PC2, supports beta-cell identity. PCSK1, ABCC8 and HADH reinforce the insulin-processing and secretion program. No listed marker clearly contradicts this annotation; less specific markers do not argue against it."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 31.1}], "model": "gpt-astra", "task_id": "ct-6ea69bcccb"} +{"attempts": [{"codes": [], "evidence": 12, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000164", "cell_type_label": "enteroendocrine cell", "decision": "annotate", "markers": [{"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "NEUROD1", "stance": "supports"}, {"gene": "INSM1", "stance": "supports"}, {"gene": "PCSK1N", "stance": "supports"}, {"gene": "CPE", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "FEV", "stance": "supports"}, {"gene": "SCT", "stance": "supports"}, {"gene": "MLN", "stance": "supports"}], "rationale": "The coordinated endocrine differentiation markers NEUROD1 and INSM1, together with chromogranins and secretory-processing genes, strongly support enteroendocrine identity. SCT and MLN support intestinal hormone secretion. SCT enrichment suggests an S-cell-like population, but the supplied markers do not establish a single hormone-defined subtype. No listed marker clearly contradicts enteroendocrine identity; TFF3 also occurs in intestinal secretory cells and alone does not establish goblet-cell identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 37.6}], "model": "gpt-astra", "task_id": "ct-76f0318d60"} +{"attempts": [{"codes": ["BEV025"], "evidence": 11, "findings": [{"message": "The ASCT+B reference lists FCER1G as a marker of CL:0000767 (basophil); CL:0000775 (neutrophil); CL:0000784 (plasmacytoid dendritic cell) and 5 more, cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 5 (cluster=c09;gene=FCER1G)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000623", "cell_type_label": "natural killer cell", "decision": "annotate", "markers": [{"gene": "NKG7", "stance": "supports"}, {"gene": "KLRD1", "stance": "supports"}, {"gene": "KLRF1", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "IL2RB", "stance": "supports"}, {"gene": "XCL2", "stance": "supports"}, {"gene": "CD7", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}], "rationale": "The combined NK-receptor signature (KLRD1, KLRF1), signaling adaptors (TYROBP, FCER1G, HCST), and cytotoxic/chemokine markers (NKG7, GZMA, XCL2) strongly supports natural killer cells. KLRB1 is compatible with NK cells but also occurs in some T-cell populations. No listed marker clearly contradicts this annotation. The markers do not establish a specific NK-cell subtype."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 41.6}], "model": "gpt-astra", "task_id": "ct-992627e517"} +{"attempts": [{"codes": ["BEV004", "BEV016"], "evidence": 5, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "CL:0001117 is not in the pinned CL release (releases/2026-06-08). 'group 2 innate lymphoid cell' is the name of CL:0001069 (group 2 innate lymphoid cell).", "rule_id": "BEV016", "where": "object id"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004", "BEV025"], "evidence": 5, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The ASCT+B reference lists HPGDS as a marker of CL:0002079 (pancreatic ductal cell), cell types disjoint from CL:0001069.", "rule_id": "BEV025", "where": "evidence 1 (cluster=c11;gene=HPGDS)"}, {"message": "The ASCT+B reference lists GATA3 as a marker of CL:1000454 (kidney collecting duct epithelial cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell) and 2 more, cell types disjoint from CL:0001069.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c11;gene=GATA3)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0001117", "cell_type_label": "group 2 innate lymphoid cell", "decision": "annotate", "markers": [{"gene": "HPGDS", "stance": "supports"}, {"gene": "PTGDR2", "stance": "supports"}, {"gene": "GATA3", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "KRT1", "stance": "contradicts"}], "rationale": "The strong, widespread HPGDS–PTGDR2 (CRTH2)–GATA3 signature, together with KLRB1 (CD161), strongly favors ILC2. KRT1 is an atypical epithelial keratin signal and could reflect contamination or doublets. Th2 cells share several markers; definitive separation requires checking T-cell receptor/CD3 expression, which this top-marker list does not establish."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 52.1}, {"answer": {"cell_type_id": "CL:0001069", "cell_type_label": "group 2 innate lymphoid cell", "decision": "annotate", "markers": [{"gene": "HPGDS", "stance": "supports"}, {"gene": "PTGDR2", "stance": "supports"}, {"gene": "GATA3", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "KRT1", "stance": "contradicts"}], "rationale": "Strong, widespread HPGDS, PTGDR2 (CRTH2), GATA3 and KLRB1 expression supports group 2 innate lymphoid cells (ILC2). KRT1 is atypical and could reflect contamination or doublets. Th2 cells share some markers; definitive distinction requires examining CD3/T-cell receptor expression, which this top-marker list does not establish."}, "cli_tools": [], "error": null, "feedback": ["object id: CL:0001117 is not in the pinned CL release (releases/2026-06-08). 'group 2 innate lymphoid cell' is the name of CL:0001069 (group 2 innate lymphoid cell)."], "seconds": 42.1}], "model": "gpt-astra", "task_id": "ct-a53a01a447"} +{"attempts": [{"codes": [], "evidence": 5, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000115", "cell_type_label": "endothelial cell", "decision": "annotate", "markers": [{"gene": "RAMP2", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "AQP1", "stance": "supports"}, {"gene": "TIMP3", "stance": "supports"}, {"gene": "ID1", "stance": "supports"}], "rationale": "The combined enrichment of RAMP2, TM4SF1, AQP1, TIMP3 and ID1 supports kidney vascular endothelial cells. AQP1 also marks proximal tubular epithelium, but the overall marker combination favors endothelium. No listed gene clearly contradicts this annotation. These markers do not reliably establish an endothelial subtype; canonical endothelial markers such as PECAM1, CDH5 and VWF would provide additional confirmation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 34.1}], "model": "gpt-astra", "task_id": "ct-c22bc01239"} +{"attempts": [{"codes": ["BEV004", "BEV025"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The ASCT+B reference lists KLRB1 as a marker of CL:0000940 (mucosal invariant T cell), cell types disjoint from CL:0000798.", "rule_id": "BEV025", "where": "evidence 4 (cluster=c06;gene=KLRB1)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000798", "cell_type_label": "gamma-delta T cell", "decision": "annotate", "markers": [{"gene": "TRDV2", "stance": "supports"}, {"gene": "CD3E", "stance": "supports"}, {"gene": "IL7R", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "CCR6", "stance": "supports"}, {"gene": "LST1", "stance": "contradicts"}], "rationale": "The strongest interpretation is gamma-delta T cells: TRDV2 provides lineage-specific evidence alongside widespread CD3E expression. IL7R, KLRB1 and CCR6 support a type-17-associated phenotype, but are not lineage-specific. BLK is compatible with some gamma-delta T-cell programs despite its association with B cells. Widespread LST1 is atypical and raises concern for mixed identity. Because TRDV2 is detected in only 35.3% of cells, the annotation is provisional; these markers do not establish a uniform Vδ2 or functional subtype."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 52.9}], "model": "gpt-astra", "task_id": "ct-c84f57496a"} +{"attempts": [], "calls": [{"answer": {"cell_type_id": "", "cell_type_label": "", "decision": "uncertain", "markers": [{"gene": "MKI67", "stance": "supports"}, {"gene": "TOP2A", "stance": "supports"}, {"gene": "UBE2C", "stance": "supports"}, {"gene": "CDK1", "stance": "supports"}, {"gene": "NUSAP1", "stance": "supports"}, {"gene": "CENPF", "stance": "supports"}, {"gene": "TYMS", "stance": "supports"}], "rationale": "These markers support actively cycling cells, with strong DNA replication and mitotic programs, but do not establish a cell lineage. VIM, STMN1, and tubulin genes are insufficiently specific to distinguish lung epithelial, immune, endothelial, or stromal cells. No supplied marker decisively contradicts a particular lineage; absence from this top-marker list is not evidence of absent expression. A specific Cell Ontology cell type cannot be assigned reliably."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 73.4}], "model": "gpt-astra", "task_id": "ct-c8e68f267e"} +{"attempts": [{"codes": [], "evidence": 6, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:1000768", "cell_type_label": "kidney connecting tubule epithelial cell", "decision": "annotate", "markers": [{"gene": "CALB1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "KLK1", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "TMEM52B", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}], "rationale": "The combined CALB1, HSD11B2 and KLK1 enrichment favors connecting tubule epithelium within the distal nephron. DEFB1, TMEM52B and RHCG provide supporting evidence, although they are not individually specific. No listed marker clearly contradicts this annotation; RHCG also occurs in intercalated cells. Mitochondrial genes and MALAT1 do not distinguish these cell types. Closely related distal tubule and collecting duct populations remain the main alternatives."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 36.3}], "model": "gpt-astra", "task_id": "ct-e7cab67ae5"} +{"attempts": [{"codes": [], "evidence": 7, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002079", "cell_type_label": "pancreatic ductal cell", "decision": "annotate", "markers": [{"gene": "CFTR", "stance": "supports"}, {"gene": "SLC4A4", "stance": "supports"}, {"gene": "MMP7", "stance": "supports"}, {"gene": "SPP1", "stance": "supports"}, {"gene": "TACSTD2", "stance": "supports"}, {"gene": "ANXA4", "stance": "supports"}, {"gene": "CD24", "stance": "supports"}], "rationale": "CFTR and SLC4A4 support the ion-transport and bicarbonate-secretion functions of pancreatic ductal cells. MMP7, SPP1, TACSTD2, ANXA4 and CD24 reinforce a ductal epithelial identity. No listed marker strongly contradicts this annotation. The supplied top markers support the broad cell type but do not establish a specific ductal subtype."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 71.2}], "model": "gpt-astra", "task_id": "ct-ee90c8cca6"} +{"attempts": [{"codes": [], "evidence": 14, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000182", "cell_type_label": "hepatocyte", "decision": "annotate", "markers": [{"gene": "ALB", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "APOA2", "stance": "supports"}, {"gene": "APOC3", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "FGA", "stance": "supports"}, {"gene": "FGB", "stance": "supports"}, {"gene": "FGG", "stance": "supports"}, {"gene": "RBP4", "stance": "supports"}, {"gene": "TF", "stance": "supports"}, {"gene": "AMBP", "stance": "supports"}, {"gene": "SERPINA1", "stance": "supports"}, {"gene": "CYP2E1", "stance": "supports"}, {"gene": "APOH", "stance": "supports"}], "rationale": "Strong enrichment and near-universal expression of hepatocyte plasma-protein, apolipoprotein, and metabolic genes identify hepatocytes. CYP2E1 additionally supports hepatic metabolic identity. No listed markers clearly contradict this annotation; APOC1 is shared with macrophages but does not outweigh the coherent hepatocyte signature."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 40.7}], "model": "gpt-astra", "task_id": "ct-fa6e0d282d"} +{"attempts": [{"codes": ["BEV004", "BEV016", "BEV017"], "evidence": 14, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "No row of the pinned table has cluster=c11, gene=STAB2. Closest gene values for cluster=c11: STAB1.", "rule_id": "BEV016", "where": "evidence 12 (cluster=c11;gene=STAB2)"}, {"message": "No row of the pinned table has cluster=c11, gene=LYVE1.", "rule_id": "BEV016", "where": "evidence 14 (cluster=c11;gene=LYVE1)"}, {"message": "The label 'liver sinusoidal endothelial cell' is not the name of CL:0002144 ('capillary endothelial cell'). 'liver sinusoidal endothelial cell' is the name of CL:1000398 (endothelial cell of hepatic sinusoid).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 11, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002144", "cell_type_label": "liver sinusoidal endothelial cell", "decision": "annotate", "markers": [{"gene": "CLDN5", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "IGFBP7", "stance": "supports"}, {"gene": "FCN2", "stance": "supports"}, {"gene": "FCN3", "stance": "supports"}, {"gene": "DNASE1L3", "stance": "supports"}, {"gene": "CCL14", "stance": "supports"}, {"gene": "CRHBP", "stance": "supports"}, {"gene": "TFPI", "stance": "supports"}, {"gene": "HSPG2", "stance": "supports"}, {"gene": "STAB2", "stance": "contradicts"}, {"gene": "CLEC4G", "stance": "contradicts"}, {"gene": "LYVE1", "stance": "contradicts"}], "rationale": "The cluster has a strong endothelial program (CLDN5, TM4SF1, GNG11, IGFBP7, TFPI, and HSPG2) together with liver sinusoidal endothelial-associated genes such as FCN2, FCN3, DNASE1L3, CCL14, and CRHBP. STAB2, CLEC4G, and LYVE1 are not present among the top markers, which weakens but does not exclude the sinusoidal subtype; no marker provides a strong contradictory lineage signal."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 57.9}, {"answer": {"cell_type_id": "CL:1000398", "cell_type_label": "endothelial cell of hepatic sinusoid", "decision": "annotate", "markers": [{"gene": "CLDN5", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "IGFBP7", "stance": "supports"}, {"gene": "FCN2", "stance": "supports"}, {"gene": "FCN3", "stance": "supports"}, {"gene": "DNASE1L3", "stance": "supports"}, {"gene": "CCL14", "stance": "supports"}, {"gene": "CRHBP", "stance": "supports"}, {"gene": "TFPI", "stance": "supports"}, {"gene": "HSPG2", "stance": "supports"}], "rationale": "The cluster has a clear endothelial program, including CLDN5, TM4SF1, GNG11, IGFBP7, TFPI, and HSPG2. FCN2, FCN3, DNASE1L3, CCL14, and CRHBP support specialization as hepatic sinusoidal endothelium. No listed marker provides strong contradictory evidence."}, "cli_tools": [], "error": null, "feedback": ["evidence 12 (cluster=c11;gene=STAB2): No row of the pinned table has cluster=c11, gene=STAB2. Closest gene values for cluster=c11: STAB1.", "evidence 14 (cluster=c11;gene=LYVE1): No row of the pinned table has cluster=c11, gene=LYVE1.", "object label: The label 'liver sinusoidal endothelial cell' is not the name of CL:0002144 ('capillary endothelial cell'). 'liver sinusoidal endothelial cell' is the name of CL:1000398 (endothelial cell of hepatic sinusoid)."], "seconds": 35.7}], "model": "gpt-luna", "task_id": "ct-04aaea9940"} +{"attempts": [{"codes": [], "evidence": 19, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "enterocyte", "decision": "annotate", "markers": [{"gene": "ALDOB", "stance": "supports"}, {"gene": "APOA4", "stance": "supports"}, {"gene": "FABP1", "stance": "supports"}, {"gene": "APOA1", "stance": "supports"}, {"gene": "ADIRF", "stance": "supports"}, {"gene": "PRAP1", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "ANPEP", "stance": "supports"}, {"gene": "PHGR1", "stance": "supports"}, {"gene": "TMPRSS15", "stance": "supports"}, {"gene": "SLC26A3", "stance": "supports"}, {"gene": "FABP2", "stance": "supports"}, {"gene": "CDHR5", "stance": "supports"}, {"gene": "APOC3", "stance": "supports"}, {"gene": "SI", "stance": "supports"}, {"gene": "APOB", "stance": "supports"}, {"gene": "CES2", "stance": "supports"}, {"gene": "PIGR", "stance": "supports"}, {"gene": "SLC5A1", "stance": "supports"}], "rationale": "The cluster is a mature absorptive intestinal enterocyte population. Strong support comes from enterocyte markers involved in nutrient and lipid absorption and brush-border function, including ALDOB, FABP1, FABP2, APOA1, APOA4, APOC3, APOB, RBP2, ANPEP, SI, SLC5A1, SLC26A3, CDHR5, and TMPRSS15. No listed marker argues meaningfully against the enterocyte annotation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 32.5}], "model": "gpt-luna", "task_id": "ct-085bedbfa5"} +{"attempts": [{"codes": ["BEV004", "BEV017", "BEV025"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'intestinal crypt stem cell' is not the name of CL:0002089 ('group 2 innate lymphoid cell, mouse'). 'intestinal crypt stem cell' is the name of CL:0002250 (intestinal crypt stem cell).", "rule_id": "BEV017", "where": "object label"}, {"message": "The ASCT+B reference lists AGR2 as a marker of CL:0019003 (tracheobronchial goblet cell); CL:4033009 (goblet cell of epithelium of lobar bronchus); CL:4033022 (mucus secreting cell of bronchus submucosal gland), cell types disjoint from CL:0002089.", "rule_id": "BEV025", "where": "evidence 4 (cluster=c01;gene=AGR2)"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 7, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002089", "cell_type_label": "intestinal crypt stem cell", "decision": "annotate", "markers": [{"gene": "OLFM4", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "CCL25", "stance": "supports"}, {"gene": "AGR2", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}, {"gene": "REG3A", "stance": "contradicts"}], "rationale": "The near-universal OLFM4 expression is characteristic of intestinal crypt stem/progenitor cells. REG1A, CCL25, AGR2, SPINK1, and DMBT1 support a regenerative, early intestinal epithelial program, particularly in the duodenum. REG3A suggests partial secretory or differentiated enterocyte-like maturation, so this may represent a stem/progenitor state with differentiation bias rather than a pure stem-cell population."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 52.8}, {"answer": {"cell_type_id": "CL:0002250", "cell_type_label": "intestinal crypt stem cell", "decision": "annotate", "markers": [{"gene": "OLFM4", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "CCL25", "stance": "supports"}, {"gene": "AGR2", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}, {"gene": "REG3A", "stance": "contradicts"}], "rationale": "Near-universal OLFM4 expression strongly supports an intestinal crypt stem/progenitor population. REG1A, CCL25, AGR2, SPINK1, and DMBT1 support a regenerative crypt epithelial program. REG3A argues for some secretory or differentiated epithelial maturation, suggesting a stem/progenitor population with differentiation bias rather than a completely pure stem-cell state."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'intestinal crypt stem cell' is not the name of CL:0002089 ('group 2 innate lymphoid cell, mouse'). 'intestinal crypt stem cell' is the name of CL:0002250 (intestinal crypt stem cell)."], "seconds": 39.9}], "model": "gpt-luna", "task_id": "ct-0f769ebe10"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'melanocyte' is not the name of CL:0000586 ('germ cell'). 'melanocyte' is the name of CL:0000148 (melanocyte).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000586", "cell_type_label": "melanocyte", "decision": "annotate", "markers": [{"gene": "DCT", "stance": "supports"}, {"gene": "TYRP1", "stance": "supports"}, {"gene": "MLANA", "stance": "supports"}, {"gene": "PMEL", "stance": "supports"}, {"gene": "MITF", "stance": "supports"}, {"gene": "GPNMB", "stance": "supports"}, {"gene": "KRT14", "stance": "contradicts"}, {"gene": "S100A2", "stance": "contradicts"}], "rationale": "The strong, highly specific combination of DCT, TYRP1, MLANA, PMEL, and MITF identifies pigment-producing melanocytes. GPNMB provides additional support. KRT14 and S100A2 are keratinocyte-associated markers and may indicate ambient RNA or minor doublet/contamination, but they do not outweigh the dominant melanocytic signature."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 28.0}, {"answer": {"cell_type_id": "CL:0000148", "cell_type_label": "melanocyte", "decision": "annotate", "markers": [{"gene": "DCT", "stance": "supports"}, {"gene": "TYRP1", "stance": "supports"}, {"gene": "MLANA", "stance": "supports"}, {"gene": "PMEL", "stance": "supports"}, {"gene": "MITF", "stance": "supports"}, {"gene": "GPNMB", "stance": "supports"}, {"gene": "KRT14", "stance": "contradicts"}, {"gene": "S100A2", "stance": "contradicts"}], "rationale": "The highly specific combination of DCT, TYRP1, MLANA, PMEL, and MITF is characteristic of pigment-producing melanocytes. GPNMB provides additional support. KRT14 and S100A2 are keratinocyte-associated markers and argue against a completely pure melanocyte profile, possibly reflecting contamination or a minor doublet, but they do not outweigh the dominant melanocytic signature."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'melanocyte' is not the name of CL:0000586 ('germ cell'). 'melanocyte' is the name of CL:0000148 (melanocyte)."], "seconds": 51.8}], "model": "gpt-luna", "task_id": "ct-1445edf08f"} +{"attempts": [{"codes": [], "evidence": 10, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000584", "cell_type_label": "enterocyte", "decision": "annotate", "markers": [{"gene": "FABP1", "stance": "supports"}, {"gene": "RBP2", "stance": "supports"}, {"gene": "CPS1", "stance": "supports"}, {"gene": "GSTA1", "stance": "supports"}, {"gene": "LGALS4", "stance": "supports"}, {"gene": "REG1A", "stance": "supports"}, {"gene": "DMBT1", "stance": "supports"}, {"gene": "EPCAM", "stance": "supports"}, {"gene": "PIGR", "stance": "supports"}, {"gene": "CCL25", "stance": "supports"}], "rationale": "The cluster shows a strong absorptive intestinal epithelial program: FABP1, RBP2, CPS1 and GSTA1 are characteristic enterocyte markers, with REG1A, DMBT1, LGALS4 and PIGR supporting a mature/secretory-associated enterocyte state. No listed marker clearly argues against enterocytes; the absence of strong goblet, Paneth, enteroendocrine or immune markers further supports this annotation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 67.1}], "model": "gpt-luna", "task_id": "ct-1fed4d68f2"} +{"attempts": [{"codes": ["BEV004"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000359", "cell_type_label": "vascular smooth muscle cell", "decision": "annotate", "markers": [{"gene": "TAGLN", "stance": "supports"}, {"gene": "MYL9", "stance": "supports"}, {"gene": "ACTA2", "stance": "supports"}, {"gene": "TPM2", "stance": "supports"}, {"gene": "CALD1", "stance": "supports"}, {"gene": "MYH11", "stance": "supports"}, {"gene": "RGS5", "stance": "contradicts"}, {"gene": "CPE", "stance": "contradicts"}], "rationale": "The strong, widespread expression of TAGLN, MYL9, ACTA2, TPM2, CALD1, and MYH11 defines a contractile vascular smooth-muscle/mural-cell program. RGS5 and CPE are more characteristic of pericytes, suggesting possible pericyte admixture or a closely related mural-cell state, but the MYH11 and contractile-gene pattern favors vascular smooth muscle cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 55.8}], "model": "gpt-luna", "task_id": "ct-22fc152fbd"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 10, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'type 3 innate lymphoid cell (ILC3)' is not the name of CL:0001068 ('ILC1'). Closest names: CL:0001071 (group 3 innate lymphoid cell); CL:0001065 (innate lymphoid cell); CL:0001069 (group 2 innate lymphoid cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 11, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0001068", "cell_type_label": "type 3 innate lymphoid cell (ILC3)", "decision": "annotate", "markers": [{"gene": "IL7R", "stance": "supports"}, {"gene": "RORC", "stance": "supports"}, {"gene": "KIT", "stance": "supports"}, {"gene": "ZBTB16", "stance": "supports"}, {"gene": "TOX2", "stance": "supports"}, {"gene": "LINC00299", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "LTA", "stance": "supports"}, {"gene": "IL4I1", "stance": "supports"}, {"gene": "LST1", "stance": "contradicts"}], "rationale": "The combination of IL7R, RORC and KIT strongly supports an ILC3 identity, with ZBTB16, TOX2, LINC00299, LTB and LTA providing additional innate-lymphoid support. Very high LST1 expression is atypical for a pure ILC3 population and may indicate myeloid contamination or a mixed/ transitional cluster."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 51.4}, {"answer": {"cell_type_id": "CL:0001071", "cell_type_label": "group 3 innate lymphoid cell", "decision": "annotate", "markers": [{"gene": "IL7R", "stance": "supports"}, {"gene": "RORC", "stance": "supports"}, {"gene": "KIT", "stance": "supports"}, {"gene": "LTB", "stance": "supports"}, {"gene": "LTA", "stance": "supports"}, {"gene": "ZBTB16", "stance": "supports"}, {"gene": "TOX2", "stance": "supports"}, {"gene": "LINC00299", "stance": "supports"}, {"gene": "HPN", "stance": "supports"}, {"gene": "SCN1B", "stance": "supports"}, {"gene": "LST1", "stance": "contradicts"}], "rationale": "IL7R, RORC, and KIT form a characteristic group 3 innate lymphoid cell program, supported by LTB, LTA, ZBTB16, TOX2, LINC00299, HPN, and SCN1B. High LST1 is atypical for a pure ILC3 and may reflect myeloid contamination or a mixed cluster, but the dominant marker combination supports group 3 innate lymphoid cell."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'type 3 innate lymphoid cell (ILC3)' is not the name of CL:0001068 ('ILC1'). Closest names: CL:0001071 (group 3 innate lymphoid cell); CL:0001065 (innate lymphoid cell); CL:0001069 (group 2 innate lymphoid cell)."], "seconds": 32.7}], "model": "gpt-luna", "task_id": "ct-307f739343"} +{"attempts": [{"codes": ["BEV023"], "evidence": 10, "findings": [{"message": "CL:0002276 (obsolete PP cell of pancreatic acinus) is obsolete in the pinned CL release. 'pancreatic alpha cell' is the name of CL:0000171 (pancreatic A cell).", "rule_id": "BEV023", "where": "object id"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 10, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002276", "cell_type_label": "pancreatic alpha cell", "decision": "annotate", "markers": [{"gene": "GCG", "stance": "supports"}, {"gene": "PCSK2", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "GC", "stance": "supports"}, {"gene": "TM4SF4", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "SLC30A8", "stance": "supports"}, {"gene": "ALDH1A1", "stance": "supports"}], "rationale": "The cluster is a pancreatic alpha-cell population. GCG is uniformly expressed and is the defining alpha-cell hormone; PCSK2 and the dense-core granule genes CHGA, CHGB, SCG2, SCG5, and SLC30A8 support an endocrine islet identity. TTR, GC, TM4SF4, and ALDH1A1 are compatible with human pancreatic alpha-cell expression. No listed marker strongly argues against this annotation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 82.0}, {"answer": {"cell_type_id": "CL:0000171", "cell_type_label": "pancreatic A cell", "decision": "annotate", "markers": [{"gene": "GCG", "stance": "supports"}, {"gene": "PCSK2", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "SLC30A8", "stance": "supports"}, {"gene": "TTR", "stance": "supports"}, {"gene": "GC", "stance": "supports"}, {"gene": "TM4SF4", "stance": "supports"}], "rationale": "The cluster is a pancreatic A cell (alpha cell) population. Uniform GCG expression is the defining marker, while PCSK2, CHGA, CHGB, SCG2, SCG5, and SLC30A8 support pancreatic endocrine identity. TTR, GC, and TM4SF4 are compatible with human pancreatic alpha-cell profiles. No listed marker strongly argues against this annotation."}, "cli_tools": [], "error": null, "feedback": ["object id: CL:0002276 (obsolete PP cell of pancreatic acinus) is obsolete in the pinned CL release. 'pancreatic alpha cell' is the name of CL:0000171 (pancreatic A cell)."], "seconds": 45.4}], "model": "gpt-luna", "task_id": "ct-32e6a3a16d"} +{"attempts": [{"codes": ["BEV004"], "evidence": 10, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000115", "cell_type_label": "endothelial cell", "decision": "annotate", "markers": [{"gene": "PLVAP", "stance": "supports"}, {"gene": "RNASE1", "stance": "supports"}, {"gene": "CAVIN2", "stance": "supports"}, {"gene": "GNG11", "stance": "supports"}, {"gene": "RGCC", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "RAMP3", "stance": "supports"}, {"gene": "TIMP3", "stance": "supports"}, {"gene": "CD74", "stance": "contradicts"}, {"gene": "HLA-DRB1", "stance": "contradicts"}], "rationale": "The cluster has a strong vascular endothelial signature, especially PLVAP, RNASE1, CAVIN2, GNG11, RGCC, TM4SF1, and RAMP3. CD74 and HLA-DRB1 suggest interferon-stimulated or antigen-presenting activation and are atypical for resting endothelial cells, but the absence of canonical leukocyte markers and the strong endothelial program support endothelial identity overall."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 40.7}], "model": "gpt-luna", "task_id": "ct-32f05dbab5"} +{"attempts": [{"codes": ["BEV004"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000451", "cell_type_label": "dendritic cell", "decision": "annotate", "markers": [{"gene": "HLA-DRA", "stance": "supports"}, {"gene": "CD74", "stance": "supports"}, {"gene": "HLA-DRB1", "stance": "supports"}, {"gene": "HLA-DPB1", "stance": "supports"}, {"gene": "HLA-DPA1", "stance": "supports"}, {"gene": "HLA-DQA1", "stance": "supports"}, {"gene": "HLA-DQB1", "stance": "supports"}, {"gene": "GPR183", "stance": "supports"}, {"gene": "FCER1A", "stance": "supports"}, {"gene": "LYZ", "stance": "supports"}, {"gene": "CXCL8", "stance": "supports"}, {"gene": "TYROBP", "stance": "contradicts"}, {"gene": "FCER1G", "stance": "contradicts"}], "rationale": "The strong, near-universal MHC-II program together with FCER1A, GPR183, LYZ and inflammatory CXCL8 supports an activated myeloid dendritic-cell identity, likely dermal/inflammatory DC. TYROBP and FCER1G indicate some macrophage/monocyte-like myeloid character and argue against a clean conventional DC subtype assignment. The absence of CD1A and CD207 argues against Langerhans cells, so the conservative Cell Ontology assignment is generic dendritic cell."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 63.8}], "model": "gpt-luna", "task_id": "ct-3385c5a4a1"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 14, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'pancreatic acinar cell' is not the name of CL:0002068 ('Purkinje myocyte'). 'pancreatic acinar cell' is the name of CL:0002064 (pancreatic acinar cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 14, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0002068", "cell_type_label": "pancreatic acinar cell", "decision": "annotate", "markers": [{"gene": "REG1A", "stance": "supports"}, {"gene": "REG3A", "stance": "supports"}, {"gene": "REG1B", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "CTRB2", "stance": "supports"}, {"gene": "PRSS1", "stance": "supports"}, {"gene": "PNLIP", "stance": "supports"}, {"gene": "PLA2G1B", "stance": "supports"}, {"gene": "CPB1", "stance": "supports"}, {"gene": "CPA1", "stance": "supports"}, {"gene": "CPA2", "stance": "supports"}, {"gene": "CEL", "stance": "supports"}, {"gene": "OLFM4", "stance": "contradicts"}, {"gene": "DUOX2", "stance": "contradicts"}], "rationale": "The cluster is strongly pancreatic acinar: digestive enzyme genes (CTRB2, PRSS1, PNLIP, PLA2G1B, CPB1, CPA1/2, CEL) and acinar/regenerative genes (REG1A/B, REG3A, SPINK1) are broadly expressed within the cluster. OLFM4 and DUOX2 are more characteristic of ductal or intestinal-like epithelial programs and argue against a pure canonical acinar identity, suggesting an activated or atypical acinar state, but they do not outweigh the dominant acinar signature."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 43.8}, {"answer": {"cell_type_id": "CL:0002064", "cell_type_label": "pancreatic acinar cell", "decision": "annotate", "markers": [{"gene": "REG1A", "stance": "supports"}, {"gene": "REG3A", "stance": "supports"}, {"gene": "REG1B", "stance": "supports"}, {"gene": "SPINK1", "stance": "supports"}, {"gene": "CTRB2", "stance": "supports"}, {"gene": "PRSS1", "stance": "supports"}, {"gene": "PNLIP", "stance": "supports"}, {"gene": "PLA2G1B", "stance": "supports"}, {"gene": "CPB1", "stance": "supports"}, {"gene": "CPA1", "stance": "supports"}, {"gene": "CPA2", "stance": "supports"}, {"gene": "CEL", "stance": "supports"}, {"gene": "OLFM4", "stance": "contradicts"}, {"gene": "DUOX2", "stance": "contradicts"}], "rationale": "The cluster is a pancreatic acinar cell based on its coherent, high-frequency digestive enzyme program (CTRB2, PRSS1, PNLIP, PLA2G1B, CPB1, CPA1/2, CEL) together with acinar/regenerative genes REG1A, REG1B, REG3A, and SPINK1. OLFM4 and DUOX2 argue against a purely canonical acinar profile and may indicate an activated or atypical epithelial state, but they do not outweigh the dominant acinar signature."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'pancreatic acinar cell' is not the name of CL:0002068 ('Purkinje myocyte'). 'pancreatic acinar cell' is the name of CL:0002064 (pancreatic acinar cell)."], "seconds": 48.8}], "model": "gpt-luna", "task_id": "ct-36d56001f7"} +{"attempts": [{"codes": ["BEV004", "BEV016", "BEV017"], "evidence": 11, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "No row of the pinned table has cluster=c01, gene=SLC26A4. Closest gene values for cluster=c01: SLC26A7, SLC4A1.", "rule_id": "BEV016", "where": "evidence 10 (cluster=c01;gene=SLC26A4)"}, {"message": "The label 'kidney alpha-intercalated cell' is not the name of CL:0005013 ('single ciliated epithelial cell'). Closest names: CL:0005011 (renal alpha-intercalated cell); CL:0005010 (renal intercalated cell); CL:4030015 (kidney collecting duct alpha-intercalated cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 8, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0005013", "cell_type_label": "kidney alpha-intercalated cell", "decision": "annotate", "markers": [{"gene": "SLC4A1", "stance": "supports"}, {"gene": "ATP6V0D2", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "SLC26A7", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "TMEM213", "stance": "supports"}, {"gene": "CALB1", "stance": "supports"}, {"gene": "SLC26A4", "stance": "contradicts"}, {"gene": "ATP6V1B1", "stance": "contradicts"}], "rationale": "The combination of strong SLC4A1, ATP6V0D2, HSD11B2, RHCG, CA12 and SLC26A7 expression identifies a renal acid-secreting alpha-intercalated cell. DEFB1, TMEM213 and CALB1 are also compatible with collecting-duct intercalated cells. No canonical beta-intercalated marker such as SLC26A4 is present, and ATP6V1B1 is not among the listed markers; these are mild caveats rather than strong contradictions."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 52.9}, {"answer": {"cell_type_id": "CL:0005011", "cell_type_label": "renal alpha-intercalated cell", "decision": "annotate", "markers": [{"gene": "SLC4A1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "CA12", "stance": "supports"}, {"gene": "ATP6V0D2", "stance": "supports"}, {"gene": "SLC26A7", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "TMEM213", "stance": "supports"}], "rationale": "The strong, specific combination of SLC4A1, HSD11B2, RHCG, CA12, ATP6V0D2, and SLC26A7 supports a renal alpha-intercalated cell. DEFB1 and TMEM213 are also compatible with collecting-duct intercalated-cell identity. No listed marker provides a clear contradiction."}, "cli_tools": [], "error": null, "feedback": ["evidence 10 (cluster=c01;gene=SLC26A4): No row of the pinned table has cluster=c01, gene=SLC26A4. Closest gene values for cluster=c01: SLC26A7, SLC4A1.", "object label: The label 'kidney alpha-intercalated cell' is not the name of CL:0005013 ('single ciliated epithelial cell'). Closest names: CL:0005011 (renal alpha-intercalated cell); CL:0005010 (renal intercalated cell); CL:4030015 (kidney collecting duct alpha-intercalated cell)."], "seconds": 23.8}], "model": "gpt-luna", "task_id": "ct-3cbc7c57fd"} +{"attempts": [{"codes": ["BEV004", "BEV016", "BEV017"], "evidence": 10, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "No row of the pinned table has cluster=c06, gene=CD4. Closest gene values for cluster=c06: CD2.", "rule_id": "BEV016", "where": "evidence 9 (cluster=c06;gene=CD4)"}, {"message": "No row of the pinned table has cluster=c06, gene=CD8A.", "rule_id": "BEV016", "where": "evidence 10 (cluster=c06;gene=CD8A)"}, {"message": "The label 'natural killer T cell' is not the name of CL:0000814 ('mature NK T cell'). Closest names: CL:0000623 (natural killer cell); CL:0000937 (pre-natural killer cell); CL:0000824 (mature natural killer cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 9, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000814", "cell_type_label": "natural killer T cell", "decision": "annotate", "markers": [{"gene": "CD3D", "stance": "supports"}, {"gene": "TRAC", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}, {"gene": "NKG7", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "S100A4", "stance": "supports"}, {"gene": "CD4", "stance": "contradicts"}, {"gene": "CD8A", "stance": "contradicts"}], "rationale": "The cluster shows a clear T-cell program (CD3D, TRAC, IL32, S100A4) together with NK/cytotoxic features (NKG7, CCL5, GZMA, HCST), supporting an NK-like T-cell or natural killer T-cell identity. CD4 and CD8A are not present among the provided top markers, arguing against assignment to a conventional CD4 or CD8 T-cell subtype, but this absence is not definitive."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 35.0}, {"answer": {"cell_type_id": "CL:0000814", "cell_type_label": "mature NK T cell", "decision": "annotate", "markers": [{"gene": "CD3D", "stance": "supports"}, {"gene": "TRAC", "stance": "supports"}, {"gene": "CCL5", "stance": "supports"}, {"gene": "NKG7", "stance": "supports"}, {"gene": "GZMA", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "IL32", "stance": "supports"}, {"gene": "CD2", "stance": "supports"}], "rationale": "The cluster has a clear T-cell receptor program (CD3D, TRAC, CD2) combined with NK-like cytotoxic features (CCL5, NKG7, GZMA, HCST), supporting the Cell Ontology term mature NK T cell. No provided marker strongly argues against this assignment."}, "cli_tools": [], "error": null, "feedback": ["evidence 9 (cluster=c06;gene=CD4): No row of the pinned table has cluster=c06, gene=CD4. Closest gene values for cluster=c06: CD2.", "evidence 10 (cluster=c06;gene=CD8A): No row of the pinned table has cluster=c06, gene=CD8A.", "object label: The label 'natural killer T cell' is not the name of CL:0000814 ('mature NK T cell'). Closest names: CL:0000623 (natural killer cell); CL:0000937 (pre-natural killer cell); CL:0000824 (mature natural killer cell)."], "seconds": 29.2}], "model": "gpt-luna", "task_id": "ct-3f2898af5e"} +{"attempts": [{"codes": [], "evidence": 13, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000057", "cell_type_label": "fibroblast", "decision": "annotate", "markers": [{"gene": "DCN", "stance": "supports"}, {"gene": "CFD", "stance": "supports"}, {"gene": "CXCL14", "stance": "supports"}, {"gene": "COL1A1", "stance": "supports"}, {"gene": "COL1A2", "stance": "supports"}, {"gene": "COL3A1", "stance": "supports"}, {"gene": "COL6A2", "stance": "supports"}, {"gene": "LUM", "stance": "supports"}, {"gene": "FBLN1", "stance": "supports"}, {"gene": "SFRP2", "stance": "supports"}, {"gene": "MMP2", "stance": "supports"}, {"gene": "CCDC80", "stance": "supports"}, {"gene": "SERPINF1", "stance": "supports"}], "rationale": "The cluster shows a strong extracellular-matrix and collagen-producing stromal program: DCN, LUM, COL1A1, COL1A2, COL3A1, COL6A2, FBLN1, SFRP2, MMP2, and CCDC80. CFD and CXCL14 further support a dermal fibroblast-like identity. No listed marker argues against fibroblast identity."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 32.8}], "model": "gpt-luna", "task_id": "ct-5e18af843a"} +{"attempts": [{"codes": [], "evidence": 10, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0000169", "cell_type_label": "pancreatic beta cell", "decision": "annotate", "markers": [{"gene": "INS", "stance": "supports"}, {"gene": "IAPP", "stance": "supports"}, {"gene": "PCSK1", "stance": "supports"}, {"gene": "PDX1", "stance": "supports"}, {"gene": "ABCC8", "stance": "supports"}, {"gene": "G6PC2", "stance": "supports"}, {"gene": "MAFA", "stance": "supports"}, {"gene": "ADCYAP1", "stance": "supports"}, {"gene": "HADH", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}], "rationale": "The strong INS and IAPP expression, together with beta-cell markers G6PC2, MAFA, PDX1, ABCC8, PCSK1, and ADCYAP1, identifies this cluster as pancreatic beta cells. No listed marker provides clear evidence against this annotation."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 47.3}], "model": "gpt-luna", "task_id": "ct-6ea69bcccb"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'enteroendocrine cell' is not the name of CL:0000165 ('neuroendocrine cell'). 'enteroendocrine cell' is the name of CL:0000164 (enteroendocrine cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004"], "evidence": 13, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000165", "cell_type_label": "enteroendocrine cell", "decision": "annotate", "markers": [{"gene": "PCSK1N", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "NEUROD1", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "CPE", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "INSM1", "stance": "supports"}, {"gene": "SCT", "stance": "supports"}, {"gene": "GC", "stance": "supports"}, {"gene": "MLN", "stance": "supports"}, {"gene": "TFF3", "stance": "contradicts"}], "rationale": "The cluster is clearly enteroendocrine based on widespread neuroendocrine markers (CHGA, CHGB, PCSK1N, NEUROD1, SCGN, SCG5, SCG2, INSM1, and CPE). SCT is compatible with a secretin-lineage subtype, while GC and MLN suggest additional enteroendocrine heterogeneity; therefore the broader enteroendocrine-cell annotation is more secure than a pure secretin-cell label. TFF3 is less specific and argues against an entirely pure endocrine subtype."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 45.5}, {"answer": {"cell_type_id": "CL:0000164", "cell_type_label": "enteroendocrine cell", "decision": "annotate", "markers": [{"gene": "PCSK1N", "stance": "supports"}, {"gene": "CHGA", "stance": "supports"}, {"gene": "NEUROD1", "stance": "supports"}, {"gene": "CHGB", "stance": "supports"}, {"gene": "CPE", "stance": "supports"}, {"gene": "SCGN", "stance": "supports"}, {"gene": "SCG5", "stance": "supports"}, {"gene": "SCG2", "stance": "supports"}, {"gene": "INSM1", "stance": "supports"}, {"gene": "SCT", "stance": "supports"}, {"gene": "GC", "stance": "supports"}, {"gene": "MLN", "stance": "supports"}, {"gene": "TFF3", "stance": "contradicts"}], "rationale": "The cluster is strongly enteroendocrine, with widespread neuroendocrine and secretory-vesicle markers including CHGA, CHGB, PCSK1N, NEUROD1, SCGN, SCG5, SCG2, INSM1, and CPE. SCT, GC, and MLN indicate enteroendocrine hormonal heterogeneity rather than a single pure subtype. TFF3 is less specific and argues against a completely pure endocrine profile, but does not outweigh the coherent endocrine-marker program."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'enteroendocrine cell' is not the name of CL:0000165 ('neuroendocrine cell'). 'enteroendocrine cell' is the name of CL:0000164 (enteroendocrine cell)."], "seconds": 45.9}], "model": "gpt-luna", "task_id": "ct-76f0318d60"} +{"attempts": [{"codes": ["BEV025"], "evidence": 13, "findings": [{"message": "The ASCT+B reference lists FCER1G as a marker of CL:0000767 (basophil); CL:0000775 (neutrophil); CL:0000784 (plasmacytoid dendritic cell) and 5 more, cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 6 (cluster=c09;gene=FCER1G)"}, {"message": "The ASCT+B reference lists CCL3 as a marker of CL:4033041 (CCL3-positive alveolar macrophage), cell types disjoint from CL:0000623.", "rule_id": "BEV025", "where": "evidence 10 (cluster=c09;gene=CCL3)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000623", "cell_type_label": "natural killer cell", "decision": "annotate", "markers": [{"gene": "NKG7", "stance": "supports"}, {"gene": "KLRD1", "stance": "supports"}, {"gene": "KLRF1", "stance": "supports"}, {"gene": "CMC1", "stance": "supports"}, {"gene": "TYROBP", "stance": "supports"}, {"gene": "FCER1G", "stance": "supports"}, {"gene": "HCST", "stance": "supports"}, {"gene": "IL2RB", "stance": "supports"}, {"gene": "XCL2", "stance": "supports"}, {"gene": "CCL3", "stance": "supports"}, {"gene": "CCL4", "stance": "supports"}, {"gene": "CD7", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}], "rationale": "The cluster is best annotated as natural killer cells, with strong NK receptor and cytotoxic/chemokine signatures: NKG7, KLRD1, KLRF1, CMC1, HCST, IL2RB, XCL2, CCL3 and CCL4. KLRB1 suggests a CD161-positive NK-like subset. No listed marker argues strongly against this annotation; the absence of clear T-cell markers such as CD3D, CD3E and TRBC argues against conventional T cells or NKT cells."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 31.8}], "model": "gpt-luna", "task_id": "ct-992627e517"} +{"attempts": [{"codes": ["BEV004", "BEV017", "BEV025"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'type 2 innate lymphoid cell (ILC2)' is not the name of CL:0001065 ('innate lymphoid cell'). Closest names: CL:0001069 (group 2 innate lymphoid cell); CL:0001065 (innate lymphoid cell); CL:0001071 (group 3 innate lymphoid cell).", "rule_id": "BEV017", "where": "object label"}, {"message": "The ASCT+B reference lists HPGDS as a marker of CL:0002079 (pancreatic ductal cell), cell types disjoint from CL:0001065.", "rule_id": "BEV025", "where": "evidence 1 (cluster=c11;gene=HPGDS)"}, {"message": "The ASCT+B reference lists GATA3 as a marker of CL:1000454 (kidney collecting duct epithelial cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell) and 2 more, cell types disjoint from CL:0001065.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c11;gene=GATA3)"}], "status": "rejected", "to_expert": false}, {"codes": ["BEV004", "BEV025"], "evidence": 6, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The ASCT+B reference lists HPGDS as a marker of CL:0002079 (pancreatic ductal cell), cell types disjoint from CL:0001069.", "rule_id": "BEV025", "where": "evidence 1 (cluster=c11;gene=HPGDS)"}, {"message": "The ASCT+B reference lists GATA3 as a marker of CL:1000454 (kidney collecting duct epithelial cell); CL:1000714 (kidney cortex collecting duct principal cell); CL:1000716 (kidney outer medulla collecting duct principal cell) and 2 more, cell types disjoint from CL:0001069.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c11;gene=GATA3)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0001065", "cell_type_label": "type 2 innate lymphoid cell (ILC2)", "decision": "annotate", "markers": [{"gene": "HPGDS", "stance": "supports"}, {"gene": "PTGDR2", "stance": "supports"}, {"gene": "GATA3", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "IL10RA", "stance": "supports"}, {"gene": "KRT1", "stance": "contradicts"}], "rationale": "HPGDS and PTGDR2 are highly specific for lung ILC2s, with strong GATA3 and KLRB1 expression supporting a type-2 innate lymphoid identity. IL32, TESPA1 and IL10RA are compatible with lymphoid cells. KRT1 is an epithelial/keratin marker and argues against a pure ILC2 profile, possibly reflecting ambient RNA or a doublet, but the coherent HPGDS–PTGDR2–GATA3 signature supports annotation as ILC2."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 41.3}, {"answer": {"cell_type_id": "CL:0001069", "cell_type_label": "group 2 innate lymphoid cell", "decision": "annotate", "markers": [{"gene": "HPGDS", "stance": "supports"}, {"gene": "PTGDR2", "stance": "supports"}, {"gene": "GATA3", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "IL10RA", "stance": "supports"}, {"gene": "KRT1", "stance": "contradicts"}], "rationale": "The coherent HPGDS–PTGDR2–GATA3 signature strongly supports a group 2 innate lymphoid cell identity, with KLRB1 and IL10RA compatible with this lymphoid population. KRT1 is an epithelial keratin marker and argues against a pure ILC2 profile, possibly reflecting ambient RNA or a doublet."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'type 2 innate lymphoid cell (ILC2)' is not the name of CL:0001065 ('innate lymphoid cell'). Closest names: CL:0001069 (group 2 innate lymphoid cell); CL:0001065 (innate lymphoid cell); CL:0001071 (group 3 innate lymphoid cell)."], "seconds": 41.0}], "model": "gpt-luna", "task_id": "ct-a53a01a447"} +{"attempts": [{"codes": ["BEV004"], "evidence": 9, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000115", "cell_type_label": "endothelial cell", "decision": "annotate", "markers": [{"gene": "TM4SF1", "stance": "supports"}, {"gene": "RAMP2", "stance": "supports"}, {"gene": "IFI27", "stance": "supports"}, {"gene": "TIMP3", "stance": "supports"}, {"gene": "AQP1", "stance": "supports"}, {"gene": "NHERF2", "stance": "supports"}, {"gene": "IFITM3", "stance": "supports"}, {"gene": "S100A4", "stance": "contradicts"}, {"gene": "VIM", "stance": "contradicts"}], "rationale": "The combination of TM4SF1, RAMP2, IFI27, TIMP3, and AQP1 is most consistent with a renal microvascular endothelial population, likely peritubular/capillary endothelial cells. AQP1 can also mark proximal tubular or thin-limb epithelium, but the vascular-associated TM4SF1/RAMP2 pattern supports endothelial identity. S100A4 and VIM are nonspecific and provide weak contrary evidence; canonical endothelial markers such as PECAM1, EMCN, VWF, or KDR are not listed, so a more specific endothelial subtype cannot be assigned confidently."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 49.8}], "model": "gpt-luna", "task_id": "ct-c22bc01239"} +{"attempts": [{"codes": ["BEV004", "BEV025"], "evidence": 8, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The ASCT+B reference lists KLRB1 as a marker of CL:0000940 (mucosal invariant T cell), cell types disjoint from CL:0000798.", "rule_id": "BEV025", "where": "evidence 3 (cluster=c06;gene=KLRB1)"}], "status": "review_required", "to_expert": true}], "calls": [{"answer": {"cell_type_id": "CL:0000798", "cell_type_label": "gamma-delta T cell", "decision": "annotate", "markers": [{"gene": "TRDV2", "stance": "supports"}, {"gene": "CD3E", "stance": "supports"}, {"gene": "KLRB1", "stance": "supports"}, {"gene": "NCR3", "stance": "supports"}, {"gene": "CCR6", "stance": "supports"}, {"gene": "IL7R", "stance": "supports"}, {"gene": "LST1", "stance": "contradicts"}, {"gene": "BLK", "stance": "contradicts"}], "rationale": "The combination of TRDV2 with CD3E identifies a gamma-delta T-cell population, with KLRB1, NCR3, CCR6, and IL7R supporting an activated/innate-like mucosal phenotype. LST1 and BLK are atypical for T cells and may reflect ambient RNA, contamination, or some doublet contribution, but the T-cell and TRDV2 signals are stronger."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 38.6}], "model": "gpt-luna", "task_id": "ct-c84f57496a"} +{"attempts": [], "calls": [{"answer": {"cell_type_id": "CL:0001064", "cell_type_label": "cycling cell", "decision": "uncertain", "markers": [{"gene": "STMN1", "stance": "supports"}, {"gene": "TOP2A", "stance": "supports"}, {"gene": "TYMS", "stance": "supports"}, {"gene": "MKI67", "stance": "supports"}, {"gene": "UBE2C", "stance": "supports"}, {"gene": "NUSAP1", "stance": "supports"}, {"gene": "CENPF", "stance": "supports"}, {"gene": "CDK1", "stance": "supports"}], "rationale": "The cluster is strongly proliferative/cycling, with canonical S-phase and G2/M markers including TYMS, MKI67, TOP2A, UBE2C, NUSAP1, CENPF, and CDK1. However, no lineage-specific markers are present, so these data do not establish whether the cycling cells are epithelial, immune, endothelial, stromal, or another lung lineage. No listed marker specifically argues against a cycling-cell state."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 43.8}], "model": "gpt-luna", "task_id": "ct-c8e68f267e"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 9, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'kidney distal convoluted tubule epithelial cell' is not the name of CL:0002309 ('corticotroph'). 'kidney distal convoluted tubule epithelial cell' is the name of CL:1000849 (kidney distal convoluted tubule epithelial cell).", "rule_id": "BEV017", "where": "object label"}], "status": "rejected", "to_expert": false}, {"codes": [], "evidence": 7, "findings": [], "status": "admitted", "to_expert": false}], "calls": [{"answer": {"cell_type_id": "CL:0002309", "cell_type_label": "kidney distal convoluted tubule epithelial cell", "decision": "annotate", "markers": [{"gene": "CALB1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "KLK1", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "TMEM52B", "stance": "supports"}, {"gene": "MT-CO1", "stance": "contradicts"}, {"gene": "MALAT1", "stance": "contradicts"}], "rationale": "The combination of CALB1, HSD11B2, KLK1, RHCG, DEFB1 and ATP1B1 is characteristic of distal nephron tubular epithelium, most consistent with distal convoluted tubule/late distal tubule cells. The strong mitochondrial and MALAT1 signals are nonspecific and reduce marker specificity, but do not indicate a competing cell type."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 54.6}, {"answer": {"cell_type_id": "CL:1000849", "cell_type_label": "kidney distal convoluted tubule epithelial cell", "decision": "annotate", "markers": [{"gene": "CALB1", "stance": "supports"}, {"gene": "HSD11B2", "stance": "supports"}, {"gene": "KLK1", "stance": "supports"}, {"gene": "RHCG", "stance": "supports"}, {"gene": "DEFB1", "stance": "supports"}, {"gene": "ATP1B1", "stance": "supports"}, {"gene": "TMEM52B", "stance": "supports"}], "rationale": "CALB1, HSD11B2, KLK1, RHCG, DEFB1, ATP1B1 and TMEM52B together support a distal convoluted tubule epithelial identity. The mitochondrial genes and MALAT1 are abundant housekeeping/stress-associated signals and are not cell-type-specific, but they do not argue for a competing identity."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'kidney distal convoluted tubule epithelial cell' is not the name of CL:0002309 ('corticotroph'). 'kidney distal convoluted tubule epithelial cell' is the name of CL:1000849 (kidney distal convoluted tubule epithelial cell)."], "seconds": 44.1}], "model": "gpt-luna", "task_id": "ct-e7cab67ae5"} +{"attempts": [{"codes": ["BEV004", "BEV017"], "evidence": 11, "findings": [{"message": "Contradicting evidence remains unresolved.", "rule_id": "BEV004", "where": "statement.evidence lines[1]"}, {"message": "The label 'pancreatic ductal cell' is not the name of CL:0002072 ('nodal myocyte'). 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CFTR, SLC4A4, MMP7, ANXA4, and TACSTD2 are characteristic epithelial ductal markers, while SPP1, ANXA2, CD44, and TM4SF1 are consistent with an activated or SPP1-high ductal state. IFITM3 and HLA-B suggest interferon/stress activation rather than a distinct lineage and argue against a clean canonical ductal profile, but they do not outweigh the strong ductal marker combination. No convincing endocrine, acinar, immune, or endothelial marker program is present."}, "cli_tools": [], "error": null, "feedback": [], "seconds": 36.8}, {"answer": {"cell_type_id": "CL:0002079", "cell_type_label": "pancreatic ductal cell", "decision": "annotate", "markers": [{"gene": "CFTR", "stance": "supports"}, {"gene": "SLC4A4", "stance": "supports"}, {"gene": "MMP7", "stance": "supports"}, {"gene": "ANXA4", "stance": "supports"}, {"gene": "TACSTD2", "stance": "supports"}, {"gene": "SPP1", "stance": "supports"}, {"gene": "TM4SF1", "stance": "supports"}, {"gene": "ANXA2", "stance": "supports"}, {"gene": "CD44", "stance": "supports"}], "rationale": "The cluster is best identified as pancreatic ductal cells. CFTR, SLC4A4, MMP7, ANXA4, and TACSTD2 form a strong ductal epithelial program. SPP1, ANXA2, CD44, and TM4SF1 are consistent with an activated or SPP1-high ductal state. No listed marker provides convincing evidence for an opposing lineage; IFITM3 and HLA-B reflect interferon/stress-related state rather than contradiction."}, "cli_tools": [], "error": null, "feedback": ["object label: The label 'pancreatic ductal cell' is not the name of CL:0002072 ('nodal myocyte'). 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"invalid": { + "events": 1, + "n": 24, + "rate": 0.0417, + "wilson_95": [ + 0.0074, + 0.2024 + ] + }, + "routed_to_a_person": { + "events": 0, + "n": 24, + "rate": 0.0, + "wilson_95": [ + 0.0, + 0.138 + ] + }, + "tasks": 24, + "to_an_expert_as_conflict": { + "events": 0, + "n": 24, + "rate": 0.0, + "wilson_95": [ + 0.0, + 0.138 + ] + }, + "with_identifier_or_marker_error": { + "events": 12, + "n": 23, + "rate": 0.5217, + "wilson_95": [ + 0.3296, + 0.7076 + ] + }, + "wrong": { + "events": 13, + "n": 24, + "rate": 0.5417, + "wilson_95": [ + 0.3507, + 0.7211 + ] + } + } + } + }, + "revised": 38, + "split": "pilot" +} diff --git a/evaluation/llm_benchmark/results/celltype-pilot/summary.md b/evaluation/llm_benchmark/results/celltype-pilot/summary.md new file mode 100644 index 0000000..51f13c7 --- /dev/null +++ b/evaluation/llm_benchmark/results/celltype-pilot/summary.md @@ -0,0 +1,31 @@ +# Single-cell cell-type annotation (pilot set) + +Each model annotates one cluster from its top 20 marker genes with a Cell Ontology term and the markers that support it. Compared with the authors' term: exact, coarser (an ancestor), finer (a descendant) or wrong; an identifier that is not a current cell type term is invalid. + +| Model | View | Answered | Exact | Coarser | Finer | Wrong | Invalid ID | Answers with an identifier or marker error | Routed to a person | +|---|---|---:|---:|---:|---:|---:|---:|---:|---:| +| Claude Opus 5.5 | Model alone (first answer) | 23/24 | 9/24 | 2/24 | 5/24 | 7/24 | 0/24 | 1/23 | 0/24 | +| Claude Opus 5.5 | Model + bioevidence gate (first answer) | 9/24 | 5/24 | 2/24 | 1/24 | 1/24 | 0/24 | 0/9 | 14/24 | +| Claude Opus 5.5 | Model + bioevidence feedback loop (last answer) | 9/24 | 5/24 | 2/24 | 1/24 | 1/24 | 0/24 | 0/9 | 14/24 | +| GPT-6-Astra | Model alone (first answer) | 23/24 | 9/24 | 3/24 | 2/24 | 8/24 | 1/24 | 2/23 | 0/24 | +| GPT-6-Astra | Model + bioevidence gate (first answer) | 16/24 | 8/24 | 3/24 | 0/24 | 5/24 | 0/24 | 0/16 | 7/24 | +| GPT-6-Astra | Model + bioevidence feedback loop (last answer) | 16/24 | 8/24 | 3/24 | 0/24 | 5/24 | 0/24 | 0/16 | 7/24 | +| Gemini 3.1 Pro | Model alone (first answer) | 23/24 | 8/24 | 5/24 | 3/24 | 7/24 | 0/24 | 4/23 | 0/24 | +| Gemini 3.1 Pro | Model + bioevidence gate (first answer) | 14/24 | 8/24 | 4/24 | 0/24 | 2/24 | 0/24 | 0/14 | 9/24 | +| Gemini 3.1 Pro | Model + bioevidence feedback loop (last answer) | 17/24 | 8/24 | 4/24 | 1/24 | 4/24 | 0/24 | 0/17 | 6/24 | +| Claude Haiku 4.5 | Model alone (first answer) | 23/24 | 6/24 | 3/24 | 2/24 | 12/24 | 0/24 | 12/23 | 0/24 | +| Claude Haiku 4.5 | Model + bioevidence gate (first answer) | 3/24 | 3/24 | 0/24 | 0/24 | 0/24 | 0/24 | 0/3 | 20/24 | +| Claude Haiku 4.5 | Model + bioevidence feedback loop (last answer) | 4/24 | 3/24 | 0/24 | 0/24 | 1/24 | 0/24 | 0/4 | 19/24 | +| GPT-5.6-Luna | Model alone (first answer) | 23/24 | 3/24 | 4/24 | 2/24 | 13/24 | 1/24 | 12/23 | 0/24 | +| GPT-5.6-Luna | Model + bioevidence gate (first answer) | 5/24 | 3/24 | 1/24 | 0/24 | 1/24 | 0/24 | 0/5 | 18/24 | +| GPT-5.6-Luna | Model + bioevidence feedback loop (last answer) | 10/24 | 5/24 | 1/24 | 2/24 | 2/24 | 0/24 | 0/10 | 13/24 | +| Gemini 3.8 Flash | Model alone (first answer) | 23/24 | 6/24 | 4/24 | 3/24 | 9/24 | 1/24 | 7/23 | 0/24 | +| Gemini 3.8 Flash | Model + bioevidence gate (first answer) | 9/24 | 5/24 | 3/24 | 0/24 | 1/24 | 0/24 | 0/9 | 14/24 | +| Gemini 3.8 Flash | Model + bioevidence feedback loop (last answer) | 11/24 | 6/24 | 3/24 | 0/24 | 2/24 | 0/24 | 0/11 | 12/24 | +| All models | Model alone (first answer) | 138/144 | 41/144 | 21/144 | 17/144 | 56/144 | 3/144 | 38/138 | 0/144 | +| All models | Model + bioevidence gate (first answer) | 56/144 | 32/144 | 13/144 | 1/144 | 10/144 | 0/144 | 0/56 | 82/144 | +| All models | Model + bioevidence feedback loop (last answer) | 67/144 | 35/144 | 13/144 | 4/144 | 15/144 | 0/144 | 0/67 | 71/144 | + +Errors in the models' first answers (all models): label mismatch 35/138, marker not in data 3/138, no markers 0/138, not a cell type 0/138, obsolete id 2/138, unapproved symbol 0/138, unknown id 1/138. + +144 episodes, 185 model calls (0 failed), 38 revised after feedback. Rule codes raised across all records: BEV004 87, BEV016 4, BEV017 39, BEV023 2, BEV025 29. diff --git a/examples/singlecell_celltype/README.md b/examples/singlecell_celltype/README.md new file mode 100644 index 0000000..3a3d9a8 --- /dev/null +++ b/examples/singlecell_celltype/README.md @@ -0,0 +1,62 @@ +# Real-source case: single-cell cell-type annotation + +The third real-data case, after ontology names (`vbo_canine`) and clinical genetics (`clinvar_germline`), +moves to data: a cluster of a single-cell RNA-seq dataset, the marker genes that characterise it, and the +Cell Ontology term an annotator gives it. It asks what bioevidence adds when a model annotates clusters: +which of the model's errors can be caught without knowing the answer, and which cannot. + +**Not a benchmark of cell-type annotation methods.** Author labels are the reference; they are themselves +judgments (see Limits). + +## Sources + +Six normal human datasets from [CZ CELLxGENE Discover](https://cellxgene.cziscience.com/) (CC BY 4.0), each +annotated by its authors with Cell Ontology terms: liver, kidney, adult duodenum, pancreas, skin, and the T, +NK and ILC compartment of a fetal lung atlas (a fine-grained immune subset). Reference releases: the Cell +Ontology (2026-06-08, full `cl.obo`, which keeps the disjointness axioms), the HGNC complete set +(2026-09-30) and the HuBMAP ASCT+B tables for liver, kidney, pancreas, skin and lung (CCF v2.0). See +[`sources/ATTRIBUTION.md`](sources/ATTRIBUTION.md). + +`prepare_source.py` derives, from files downloaded once and recorded with their SHA-256 in +`sources/manifest.json`: + +- **Marker tables.** Each author cell type with at least 30 cells is a "cluster". From raw counts + (normalised to 10,000 per cell, log1p), each gene gets `logfc` (mean inside minus mean outside the + cluster), `pct_in` and `pct_out`. The 50 genes with the highest positive `logfc` among those expressed in + at least a quarter of the cluster form its table, named by current HGNC symbols. One table per dataset. +- **Truth.** The authors' term for each cluster (`truth.jsonl`), never shown to a model. +- **Reference.** ASCT+B biomarker genes as `gene marker_of cell type` assertions (1,027). +- **Tasks.** 70 clusters, one task each, showing the tissue, the assay and the top 20 markers with their + statistics. Four per dataset (24) form the pilot split; the other 46 are held out. + +The derived tables, the two reference releases and the ASCT+B projection are committed as gzip-compressed +snapshots named by their SHA-256; the expression matrices are not. + +## Records and grounders + +An annotation is a record under [`profile.yaml`](profile.yaml): `cluster has_cell_type `, with one +`marker_gene` evidence item per cited gene, located as `cluster=c03;gene=CD8A` in the dataset's marker +table, in a supporting or contradicting evidence line. Five grounders check it, all generic: + +| Grounder | What it checks here | +|---|---| +| `TableGrounder` | Each cited marker is one of this cluster's markers in the pinned table (BEV016 otherwise, naming the closest genes). A marker counts as verified only then, and the profile requires a verified marker. | +| `OntologyGrounder` | The term exists (BEV016), is current (BEV023), is a cell type under CL:0000000 (BEV024) and matches its label (BEV017, naming the term the label belongs to). | +| `GeneGrounder` | Cited genes are approved HGNC symbols (aliases and previous symbols: BEV023, naming the approved one). | +| `ReferenceGrounder` | A supporting marker that ASCT+B lists only for cell types the Cell Ontology declares disjoint from the claimed one (e.g. a B cell marker for a T cell) sends the record to an expert (BEV025). | +| `SourceBytesGrounder` | The marker table's bytes hash to the record's frozen hash. | + +The AI experiment is in [`evaluation/llm_benchmark/celltype_loop.py`](../../evaluation/llm_benchmark/celltype_loop.py) +(results in the benchmark README). + +## Limits + +- Author labels are the reference, at the granularity each study chose ("myeloid leukocyte", "stem cell"). + Some are debatable from the markers alone (a duodenal "B cell" cluster led by JCHAIN and MZB1 looks like + plasma cells). Scoring is ontology-aware (exact, coarser, finer, wrong), not an expert judgment. +- The marker table holds the top 50 upregulated genes of each cluster. A claim that a gene is absent + cannot be checked against it, and is reported as not in the table. +- ASCT+B covers some organs and some cell types, and a gene it does not list is never reported. The + disjointness axioms of the Cell Ontology cover major lineages only (e.g. epithelial cell and leukocyte, + T cell and B cell lineage, lymphocyte and myeloid leukocyte), so a marker cited for the wrong type within + a lineage is not caught this way. diff --git a/examples/singlecell_celltype/prepare_source.py b/examples/singlecell_celltype/prepare_source.py new file mode 100644 index 0000000..3df2573 --- /dev/null +++ b/examples/singlecell_celltype/prepare_source.py @@ -0,0 +1,184 @@ +"""Build the pinned single-cell cell-type annotation case (run once, offline, from downloaded files). + + uv run --frozen --with anndata==0.11.4 python examples/singlecell_celltype/prepare_source.py --data DIR + +DIR holds what was downloaded beforehand (see README): `selected.json` (the CELLxGENE Discover metadata of the +six datasets), `h5ad/.h5ad`, `ref/cl.obo` (the full release: it keeps the disjointness axioms), `ref/hgnc_complete_set.txt`, `asctb/asct-b-vh-.csv`. +None of it is committed except as the derived, content-addressed snapshots below. + +1. Markers. For each dataset, each cell type its authors annotated (a Cell Ontology term, not "unknown", with + at least MIN_CELLS cells) is one "cluster". Raw counts are normalised to 10,000 per cell and log1p-transformed; for + each cluster and gene, `logfc` is the mean in the cluster minus the mean in all other cells, `pct_in` and + `pct_out` the fractions of cells with a non-zero count. Genes expressed in at least a quarter of the + cluster are ranked by `logfc`; the top TOP_GENES with a positive `logfc` form the cluster's marker table. + Genes are named by their current HGNC approved symbol, mapped from their Ensembl ID; genes without an + HGNC entry are left out. +2. Truth. The authors' term for each cluster, updated to its replacement when the pinned Cell Ontology release + has obsoleted it. It is kept apart from the tasks, which never show it. +3. Reference. HuBMAP ASCT+B biomarker genes, as `gene marker_of cell type` assertions: each row's most specific + cell type with a CL identifier, and its gene biomarkers under their current HGNC symbols. +4. Tasks. One per cluster: the tissue, the assay and the top PROMPT_GENES markers with their statistics. Per + dataset, clusters in keyed-hash order go to the pilot split (PILOT_PER_DATASET) and the rest to the test split. + +Outputs in sources/: `snapshots/..gz` (marker tables, the Cell Ontology release, the HGNC set, the +ASCT+B reference), `tasks.jsonl`, `truth.jsonl`, `manifest.json` and `ATTRIBUTION.md`. +""" +from __future__ import annotations + +import argparse +import csv +import gzip +import hashlib +import io +import json +from pathlib import Path + +import anndata +import numpy as np +import scipy.sparse as sp + +from bioevidence_validator.identifiers import Genes, Ontology + +ROOT = Path(__file__).resolve().parent +SOURCES = ROOT / "sources" +KEY = "bioai-singlecell-celltype-v1" +MIN_CELLS, TOP_GENES, PROMPT_GENES, MIN_PCT, PILOT_PER_DATASET = 30, 50, 20, 0.25, 4 +ORGANS = {"liver": "liver", "kidney": "kidney", "pancreas": "pancreas", "skin": "skin", "lung_t_nk_ilc": "lung"} + + +def sha256(data: bytes) -> str: + return hashlib.sha256(data).hexdigest() + + +def pin(data: bytes, suffix: str) -> str: + """Write a gzip-compressed snapshot named by the SHA-256 of its uncompressed bytes.""" + digest = sha256(data) + (SOURCES / "snapshots").mkdir(parents=True, exist_ok=True) + (SOURCES / "snapshots" / f"{digest}.{suffix}.gz").write_bytes(gzip.compress(data, mtime=0)) + return digest + + +def tsv(columns: list[str], rows: list[dict]) -> bytes: + out = io.StringIO() + writer = csv.DictWriter(out, columns, delimiter="\t", lineterminator="\n") + writer.writeheader() + writer.writerows(rows) + return out.getvalue().encode() + + +def markers(path: Path, genes: Genes, ontology: Ontology) -> tuple[list[dict], list[dict]]: + """(marker rows, clusters) for one dataset.""" + data = anndata.read_h5ad(path) + counts = data.raw.X if data.raw is not None else data.X + var = data.raw.var if data.raw is not None else data.var + matrix = sp.csr_matrix(counts, dtype=np.float64) + ensembl = {row.get("ensembl_gene_id"): symbol for symbol, row in + ((r["symbol"], r) for r in genes.by_id.values()) if row.get("ensembl_gene_id")} + keep, symbols = [], [] + for column, gene_id in enumerate(var.index): + symbol = ensembl.get(str(gene_id).split(".")[0]) + if symbol and symbol not in symbols: + keep.append(column) + symbols.append(symbol) + matrix = matrix[:, keep] + size = np.asarray(matrix.sum(axis=1)).ravel() + normalised = sp.diags(1e4 / np.where(size > 0, size, 1)) @ matrix + normalised.data = np.log1p(normalised.data) + expressed = (matrix > 0).astype(np.float64) + terms = data.obs["cell_type_ontology_term_id"].astype(str).to_numpy() + labels = dict(zip(terms, data.obs["cell_type"].astype(str), strict=True)) + total, total_expressed, cells = (np.asarray(normalised.sum(axis=0)).ravel(), + np.asarray(expressed.sum(axis=0)).ravel(), len(terms)) + rows, clusters = [], [] + usable = sorted(t for t in set(terms) if t.startswith("CL:") and (terms == t).sum() >= MIN_CELLS) + for n, term in enumerate(usable, start=1): + mask = terms == term + inside = mask.sum() + mean_in = np.asarray(normalised[mask].sum(axis=0)).ravel() / inside + mean_out = (total - mean_in * inside) / (cells - inside) + pct_in = np.asarray(expressed[mask].sum(axis=0)).ravel() / inside + pct_out = (total_expressed - pct_in * inside) / (cells - inside) + logfc = mean_in - mean_out + ranked = sorted((i for i in range(len(symbols)) if pct_in[i] >= MIN_PCT and logfc[i] > 0), + key=lambda i: (-round(logfc[i], 6), symbols[i]))[:TOP_GENES] + cluster = f"c{n:02d}" + rows += [{"cluster": cluster, "gene": symbols[i], "rank": rank, "logfc": f"{logfc[i]:.3f}", + "pct_in": f"{pct_in[i]:.3f}", "pct_out": f"{pct_out[i]:.3f}"} for rank, i in enumerate(ranked, start=1)] + truth, note = term, "" + if term in ontology.terms and ontology.terms[term].obsolete: + replacement = ontology.terms[term].replaced_by + truth, note = (replacement[0], f"obsolete {term} replaced") if replacement else (term, "obsolete, no replacement") + clusters.append({"cluster": cluster, "author_term": term, "author_label": labels[term], "term": truth, + "label": ontology.terms[truth].name if truth in ontology.terms else labels[term], + "cells": int(inside), "note": note}) + return rows, clusters + + +def asctb(directory: Path, genes: Genes) -> list[dict]: + """gene marker_of cell type, from the ASCT+B biomarker gene columns.""" + found = {} + for organ in sorted(set(ORGANS.values())): + lines = (directory / f"asct-b-vh-{organ}.csv").read_text(encoding="utf-8-sig").splitlines() + start = next(i for i, line in enumerate(lines) if line.startswith("AS/1,")) + for row in csv.DictReader(lines[start:]): + cell_types = [(row[k], row.get(k.replace("/ID", "/LABEL")) or row.get(k.replace("/ID", "")) or "") + for k in row if k and k.startswith("CT/") and k.endswith("/ID") and (row[k] or "").startswith("CL:")] + if not cell_types: + continue + cell_type, label = cell_types[-1] + for key in (k for k in row if k and k.startswith("BGene/") and k.endswith("/ID")): + gene = genes.by_id.get((row[key] or "").strip()) + if gene: + found[(gene["symbol"], cell_type)] = {"subject": gene["symbol"], "predicate": "marker_of", + "object": cell_type, "object_label": label.strip(), + "organ": organ} + return [found[k] for k in sorted(found)] + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) + parser.add_argument("--data", type=Path, required=True) + args = parser.parse_args(argv) + data = args.data + cl_bytes, hgnc_bytes = (data / "ref/cl.obo").read_bytes(), (data / "ref/hgnc_complete_set.txt").read_bytes() + ontology, genes = Ontology.from_obo(cl_bytes), Genes.from_hgnc(hgnc_bytes) + manifest = {"key": KEY, "parameters": {"min_cells": MIN_CELLS, "top_genes": TOP_GENES, "prompt_genes": PROMPT_GENES, + "min_pct": MIN_PCT, "pilot_per_dataset": PILOT_PER_DATASET}, + "cell_ontology": {"version": ontology.version, "sha256": pin(cl_bytes, "obo")}, + "hgnc": {"file": "hgnc_complete_set.txt", "retrieved": "2026-09-30", "sha256": pin(hgnc_bytes, "tsv")}, + "datasets": []} + reference = asctb(data / "asctb", genes) + manifest["asctb"] = {"organs": sorted(set(ORGANS.values())), "release": "ccf-releases v2.0", "assertions": len(reference), + "sha256": pin(tsv(["subject", "predicate", "object", "object_label", "organ"], reference), "tsv")} + tasks, truth = [], [] + for meta in json.loads((data / "selected.json").read_text(encoding="utf-8")): + h5ad = data / "h5ad" / f"{meta['name']}.h5ad" + rows, clusters = markers(h5ad, genes, ontology) + table = pin(tsv(["cluster", "gene", "rank", "logfc", "pct_in", "pct_out"], rows), "tsv") + manifest["datasets"].append({**{k: meta[k] for k in ("name", "dataset_id", "dataset_version_id", "title", + "collection_name", "collection_doi", "cell_count", "url")}, + "tissue": meta["tissue"][0], "assay": [a["label"] for a in meta["assay"]], + "h5ad_sha256": sha256(h5ad.read_bytes()), "markers_sha256": table, + "clusters": len(clusters)}) + order = sorted(clusters, key=lambda c: sha256(f"{KEY}:{meta['dataset_id']}:{c['cluster']}".encode())) + pilot = {c["cluster"] for c in order[:PILOT_PER_DATASET]} + for c in clusters: + task_id = "ct-" + sha256(f"{meta['dataset_id']}:{c['cluster']}".encode())[:10] + top = [r for r in rows if r["cluster"] == c["cluster"]][:PROMPT_GENES] + tasks.append({"task_id": task_id, "split": "pilot" if c["cluster"] in pilot else "test", + "dataset": meta["name"], "cluster": c["cluster"], "tissue": meta["tissue"][0]["label"], + "assay": ", ".join(a["label"] for a in meta["assay"]), "species": "Homo sapiens", + "markers_sha256": table, + "markers": [{k: r[k] for k in ("gene", "logfc", "pct_in", "pct_out")} for r in top]}) + truth.append({"task_id": task_id, "dataset": meta["name"], **c}) + for name, rows in (("tasks.jsonl", tasks), ("truth.jsonl", truth)): + (SOURCES / name).write_text("".join(json.dumps(r, sort_keys=True) + "\n" for r in rows), encoding="utf-8", + newline="\n") + (SOURCES / "manifest.json").write_text(json.dumps(manifest, indent=2, sort_keys=True) + "\n", encoding="utf-8", + newline="\n") + print(f"{len(tasks)} tasks ({sum(t['split'] == 'pilot' for t in tasks)} pilot), {len(reference)} ASCT+B assertions") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/examples/singlecell_celltype/profile.yaml b/examples/singlecell_celltype/profile.yaml new file mode 100644 index 0000000..9967175 --- /dev/null +++ b/examples/singlecell_celltype/profile.yaml @@ -0,0 +1,28 @@ +id: singlecell-celltype +version: 0.1.0 +description: Cell-type annotation of a single-cell RNA-seq cluster from its marker genes. A marker gene counts only + when a grounder has found it among the cluster's markers in the pinned marker table; model-cited markers are + allowed for a research summary on that condition, while a reference annotation needs a human's acceptance. +predicates: +- has_cell_type +subject_types: +- cell_cluster +object_types: +- cell_type +uses: + research_summary: + required_evidence_types: + - marker_gene + verified_evidence_types: + - marker_gene + require_human_acceptance: false + allow_llm_only: true + allow_string_match_only: false + reference_annotation: + required_evidence_types: + - marker_gene + verified_evidence_types: + - marker_gene + require_human_acceptance: true + allow_llm_only: true + allow_string_match_only: false diff --git a/examples/singlecell_celltype/sources/ATTRIBUTION.md b/examples/singlecell_celltype/sources/ATTRIBUTION.md new file mode 100644 index 0000000..04e50c6 --- /dev/null +++ b/examples/singlecell_celltype/sources/ATTRIBUTION.md @@ -0,0 +1,35 @@ +# Attribution + +The marker tables in `snapshots/` are derived by `prepare_source.py` from the datasets below, as curated +and distributed by [CZ CELLxGENE Discover](https://cellxgene.cziscience.com/) under +[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). The expression matrices themselves are not +redistributed; `manifest.json` records each file's SHA-256 and dataset version. The cell-type labels in +`truth.jsonl` are the datasets' own author annotations. + +| Name | Dataset | Publication | +|---|---|---| +| liver | Liver, in *Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations* | *Nat Commun* 2018, [10.1038/s41467-018-06318-7](https://doi.org/10.1038/s41467-018-06318-7) | +| kidney | normal, in *Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response* | *PNAS* 2021, [10.1073/pnas.2103240118](https://doi.org/10.1073/pnas.2103240118) | +| duodenum | Adult duodenum, in *Charting human development using a multi-endodermal organ atlas and organoid models* | *Cell* 2021, [10.1016/j.cell.2021.04.028](https://doi.org/10.1016/j.cell.2021.04.028) | +| pancreas | A Single-Cell Transcriptome Atlas of the Human Pancreas (Muraro Pancreas) | *Cell Systems* 2016, [10.1016/j.cels.2016.09.002](https://doi.org/10.1016/j.cels.2016.09.002) | +| skin | Single-cell transcriptomes of the human skin reveal age-related loss of fibroblast priming | *Commun Biol* 2020, [10.1038/s42003-020-0922-4](https://doi.org/10.1038/s42003-020-0922-4) | +| lung_t_nk_ilc | T, NK and ILC, in *A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates* | *Cell* 2022, [10.1016/j.cell.2022.11.005](https://doi.org/10.1016/j.cell.2022.11.005) | + +Reference releases, redistributed unchanged (gzip-compressed) in `snapshots/`: + +- **Cell Ontology**, release 2026-06-08, full `cl.obo` + ([obophenotype/cell-ontology](https://github.com/obophenotype/cell-ontology)), CC BY 4.0. +- **HGNC complete set**, retrieved 2026-09-30 from [genenames.org](https://www.genenames.org/), CC0. + +The ASCT+B reference (`gene marker_of cell type`) is derived from the HuBMAP ASCT+B Tables, CCF release +v2.0 ([hubmapconsortium/ccf-releases](https://github.com/hubmapconsortium/ccf-releases)), CC BY 4.0. +Overall citation: Quardokus E, Herr BW II, Record L, Börner K. *HuBMAP ASCT+B Tables*, +[humanatlas.io/asctb-tables](https://humanatlas.io/asctb-tables). + +| Organ | Table | +|---|---| +| liver | Masci AM, Kendall T, Suzuki A. HuBMAP ASCT+B Tables. Liver v1.2, [10.48539/HBM449.XCGD.289](https://doi.org/10.48539/HBM449.XCGD.289) | +| kidney | Jain S, Valerius MT, He Y, El-Achkar T, Eadon M, Spraggins J. HuBMAP ASCT+B Tables. Kidney v1.4, [10.48539/HBM636.MXKP.682](https://doi.org/10.48539/HBM636.MXKP.682) | +| pancreas | Campbell-Thompson M, Eskaros A, Saunders D. HuBMAP ASCT+B Tables. Pancreas v1.3, [10.48539/HBM336.TBNP.923](https://doi.org/10.48539/HBM336.TBNP.923) | +| skin | Ginty F, Ho J, Sunshine J, Karunamurthy A. HuBMAP ASCT+B Tables. Skin v1.3, [10.48539/HBM785.XBPB.444](https://doi.org/10.48539/HBM785.XBPB.444) | +| lung | Pryhuber G. HuBMAP ASCT+B Tables. Lung v1.4, [10.48539/HBM823.VZGJ.394](https://doi.org/10.48539/HBM823.VZGJ.394) | diff --git a/examples/singlecell_celltype/sources/manifest.json b/examples/singlecell_celltype/sources/manifest.json new file mode 100644 index 0000000..00022e8 --- /dev/null +++ b/examples/singlecell_celltype/sources/manifest.json @@ -0,0 +1,159 @@ +{ + "asctb": { + "assertions": 1027, + "organs": [ + "kidney", + "liver", + "lung", + "pancreas", + "skin" + ], + "release": "ccf-releases v2.0", + "sha256": "351dbaacdd372af704594f4a36d889c324f807c12fd2cbc307aeba9cffcb3302" + }, + "cell_ontology": { + "sha256": "7e19b4aef8e7fe7720b0c4474c6a5b8713c904ea9ab7b7d5d96f2cb28b8fc51f", + "version": "releases/2026-06-08" + }, + "datasets": [ + { + "assay": [ + "10x 3' v2" + ], + "cell_count": 8444, + "clusters": 12, + "collection_doi": "10.1038/s41467-018-06318-7", + "collection_name": "Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations", + "dataset_id": "a43aa46b-bd16-47fe-bc3e-19a052624e79", + "dataset_version_id": "9681a962-f2d0-4d53-8127-7ac87f2bd799", + "h5ad_sha256": "9d9c24983830f1948033c4fcf0c139e735e35e05db50e3778f64c7f8b3db7bee", + "markers_sha256": "fe2ff2cb67d700473d6285d4b052a1d892278cfc5377937a37152123c8c6b98d", + "name": "liver", + "tissue": { + "label": "caudate lobe of liver", + "ontology_term_id": "UBERON:0001117", + "tissue_type": "tissue" + }, + "title": "Liver", + "url": "https://datasets.cellxgene.cziscience.com/9681a962-f2d0-4d53-8127-7ac87f2bd799.h5ad" + }, + { + "assay": [ + "10x 3' v2" + ], + "cell_count": 6044, + "clusters": 18, + "collection_doi": "10.1073/pnas.2103240118", + "collection_name": "Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response", + "dataset_id": "f801b7a9-80a6-4d09-9161-71474deb58ae", + "dataset_version_id": "5f0b9675-aed8-4870-8ad8-7a3f38037486", + "h5ad_sha256": "3215543bd2dc490db5ef247d082632aaa12392cac536e6cad41dd7f991b33f49", + "markers_sha256": "a8bc60d1f3d0c6496eba01eb18f3f2ec0226f329ff4fdc52033e41486fc3a58b", + "name": "kidney", + "tissue": { + "label": "kidney", + "ontology_term_id": "UBERON:0002113", + "tissue_type": "tissue" + }, + "title": "normal - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response", + "url": "https://datasets.cellxgene.cziscience.com/5f0b9675-aed8-4870-8ad8-7a3f38037486.h5ad" + }, + { + "assay": [ + "10x 3' v2" + ], + "cell_count": 5200, + "clusters": 10, + "collection_doi": "10.1016/j.cell.2021.04.028", + "collection_name": "Charting human development using a multi-endodermal organ atlas and organoid models", + "dataset_id": "ee195b7d-184d-4dfa-9b1c-51a7e601ac11", + "dataset_version_id": "1f896487-282d-4303-a948-3cbdd1b721b0", + "h5ad_sha256": "c42a9fcf76fbc2905d8fe1fc24d29e88677298dea722fa1d7c2a268f0ad41b89", + "markers_sha256": "a468f9b74afc3d0b358e28c1b514c558558d49f69d688fe1758ac3348d6c6e56", + "name": "duodenum", + "tissue": { + "label": "duodenum", + "ontology_term_id": "UBERON:0002114", + "tissue_type": "tissue" + }, + "title": "Adult duodenum", + "url": "https://datasets.cellxgene.cziscience.com/1f896487-282d-4303-a948-3cbdd1b721b0.h5ad" + }, + { + "assay": [ + "CEL-seq2" + ], + "cell_count": 2126, + "clusters": 7, + "collection_doi": "10.1016/j.cels.2016.09.002", + "collection_name": "Muraro Pancreas", + "dataset_id": "b07e5164-baf6-43d2-bdba-5a249d0da879", + "dataset_version_id": "ac56150b-add4-4336-9059-6d3d3ce17f3b", + "h5ad_sha256": "183673651cfa8c473a26641d42011d43be44eb2fea44e6e6ab8e2b0065d07483", + "markers_sha256": "c627f49dc8fd53ee164a2fab9a818d857d695937291aa809f194b4006b1a4c7d", + "name": "pancreas", + "tissue": { + "label": "pancreas", + "ontology_term_id": "UBERON:0001264", + "tissue_type": "tissue" + }, + "title": "A Single-Cell Transcriptome Atlas of the Human Pancreas", + "url": "https://datasets.cellxgene.cziscience.com/ac56150b-add4-4336-9059-6d3d3ce17f3b.h5ad" + }, + { + "assay": [ + "10x 3' v2" + ], + "cell_count": 15457, + "clusters": 10, + "collection_doi": "10.1038/s42003-020-0922-4", + "collection_name": "Single-cell transcriptomes of the human skin reveal age-related loss of fibroblast priming", + "dataset_id": "124744b8-4681-474a-9894-683896122708", + "dataset_version_id": "1a6bbe2b-4eed-477a-97c9-f7a74d4874d7", + "h5ad_sha256": "0968cb3ccad509198e0aa37541c3f2301abcbfe81eefeec781abac80c15bc8ad", + "markers_sha256": "1dacf640d2c4d41b43f2b7e7d3b7a1fc13fe72ac383760d336886501afacfa1b", + "name": "skin", + "tissue": { + "label": "zone of skin", + "ontology_term_id": "UBERON:0000014", + "tissue_type": "tissue" + }, + "title": "Single-cell transcriptomes of the human skin reveal age-related loss of fibroblast priming", + "url": "https://datasets.cellxgene.cziscience.com/1a6bbe2b-4eed-477a-97c9-f7a74d4874d7.h5ad" + }, + { + "assay": [ + "10x 5' v1" + ], + "cell_count": 4778, + "clusters": 13, + "collection_doi": "10.1016/j.cell.2022.11.005", + "collection_name": "A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates", + "dataset_id": "62315937-e268-4fa5-a032-8f7d776f3a3f", + "dataset_version_id": "03a99fe4-e8ce-47c6-b912-d088271cc319", + "h5ad_sha256": "889617850ca9ba1ab7cec31d57bf11d6eec11b563fc07182e4f4b03695f838a3", + "markers_sha256": "0973035c1880e60359ca8af87b55d8fa125ff19bf059144cfc00ee98b3f2bbd3", + "name": "lung_t_nk_ilc", + "tissue": { + "label": "lung", + "ontology_term_id": "UBERON:0002048", + "tissue_type": "tissue" + }, + "title": "T, NK and ILC", + "url": "https://datasets.cellxgene.cziscience.com/03a99fe4-e8ce-47c6-b912-d088271cc319.h5ad" + } + ], + "hgnc": { + "file": "hgnc_complete_set.txt", + "retrieved": "2026-09-30", + "sha256": "91d0ad20c34f26fb12c8cce3f80a65a6fc694f3a508040b19f6bfa29ae0d889e" + }, + "key": "bioai-singlecell-celltype-v1", + "parameters": { + "min_cells": 30, + "min_pct": 0.25, + "pilot_per_dataset": 4, + "prompt_genes": 20, + "top_genes": 50 + } +} diff --git a/examples/singlecell_celltype/sources/snapshots/0973035c1880e60359ca8af87b55d8fa125ff19bf059144cfc00ee98b3f2bbd3.tsv.gz b/examples/singlecell_celltype/sources/snapshots/0973035c1880e60359ca8af87b55d8fa125ff19bf059144cfc00ee98b3f2bbd3.tsv.gz new file mode 100644 index 0000000000000000000000000000000000000000..68fcd9074df26470663fe00f57b6698c8b3da5c8 GIT binary patch literal 7613 zcmV;u9YW$CiwFP!00002|7~2^k}NrqeGdMGHtow}WMt(+E)`_PW$NCSv9UJ5#s-5i z2L6Afb6iq1&C8`JFDWFK>-h0S_48l;`G5cTpOj0J{z)k{sh^_H5Wcs^Q%`0xKP5G!&T2@v zZ--eQCR@bO+b#~yHt}I{Md)-GGe?fSJkAF*`69K^jG2RJ(x;h1k!m%hNhwbJxte*3 zMXK~zmGZKx?~nIXf1HCUKh7~#Vd91!w`+(~F4C0uL%HH_hYzz%S`|USFd6Ll-HVxj z=t=7;-YF|M2k{@Sk4YN{-4F(@>iO+GuVrLaQ!r}xY0mwAEM-s~=krjdRRPlFv7mz`Eq*~+cptm*TvdU zFUN1&WD(nV~{P=O3OjVXqzOTwhu4;R%pOaOPj-xa&w>8_zR&{AwASSkkYra38 zWy7{=OH^VJ3%5 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