Bioinformation study of immune microenvironment characteristics of disulfidptosis-related subtypes in ovarian cancer and prognostic model construction.

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"replication-target-v2", "prompt_hash": "bd825982cebfa74370d3c269fc41ce8b0893fcc8a4344c6bc87b25898fdee055", "source_hash": "624f9dea74d6b6387a1622a307e5cab9e7ff362fcc9b0244d2875e48857da2fb", "raw_response": "{\"parent_value\":6,\"unit\":\"genes\",\"evidence\":\"Six genes (IFNB1, IGF2, CD40LG, IL1B, IL21, CD38) associated with disulfidptosis were identified and incorporated into a prognostic model.\",\"target_result\":\"Six disulfidptosis-related genes were identified and incorporated into a prognostic model.\",\"number_stated\":true}", "reading": {"parent_value": 6, "unit": "genes", "evidence": "Six genes (IFNB1, IGF2, CD40LG, IL1B, IL21, CD38) associated with disulfidptosis were identified and incorporated into a prognostic model.", "target_result": "Six disulfidptosis-related genes were identified and incorporated into a prognostic model.", "number_stated": true, "source_locator": "chars 1338-1476 of source sha256 624f9dea74d6b6387a1622a307e5cab9e7ff362fcc9b0244d2875e48857da2fb"}, "recorded_at": "2026-10-31T15:18:38.138060+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "7ccd50c0ca96619a784ef459fcedb52d763ae3ae9452a66ebec2b40c441360ad", "source_hash": "624f9dea74d6b6387a1622a307e5cab9e7ff362fcc9b0244d2875e48857da2fb", "raw_response": "<think>We need answer JSON only. Need identify headline numerical result paper states for main finding, exact contiguous quote containing number, unit printed. Source is abstract/methods no obvious result metric. Candidate \"Six genes...\" main finding numerical result: six genes (IFNB1...). Registered target headline numerical result main finding. Need report number 6, unit perhaps \"genes\". Evidence exact contiguous quotation from source that contains number and attribution. \"Six genes (IFNB1, IGF2, CD40LG, IL1B, IL21, CD38) associated with disulfidptosis were identified and incorporated into a prognostic model.\" This is headline. parent_value 6, unit \"genes\" (paper prints Six genes, numerical value stated word \"Six\" though asks numerical result perhaps JSON number 6; evidence exact quote contains number, but number lexical word). Is this \"single numerical result replication target\"? likely. Need maybe \"1000 iterations\" etc but main finding is six genes. Unit must unit paper prints. It says \"Six genes\". Report headline number only maybe target_result concise \"Six genes\". Evidence whole clause exact contiguous. Need ensure no issue abstract lacks actual headline performance metric like AUC, C-index. But says six genes identified. The target is vague \"headline numerical result paper states for main finding\". likely 6 genes.\n\nCould number_stated true. parent_value 6 unit \"genes\". Evidence exact sentence. target_result perhaps \"Six genes\". They asked report headline number only—schema target_result string perhaps explain. Need no paraphrase evidence. Exact quote: \"Six genes (IFNB1, IGF2, CD40LG, IL1B, IL21, CD38) associated with disulfidptosis were identified and incorporated into a prognostic model.\" Use it. JSON valid.</think>\n\n{\"parent_value\":6,\"unit\":\"genes\",\"evidence\":\"Six genes (IFNB1, IGF2, CD40LG, IL1B, IL21, CD38) associated with disulfidptosis were identified and incorporated into a prognostic model.\",\"target_result\":\"6 genes\",\"number_stated\":true}", "reading": {"parent_value": 6, "unit": "genes", "evidence": "Six genes (IFNB1, IGF2, CD40LG, IL1B, IL21, CD38) associated with disulfidptosis were identified and incorporated into a prognostic model.", "target_result": "6 genes", "number_stated": true, "source_locator": "chars 1338-1476 of source sha256 624f9dea74d6b6387a1622a307e5cab9e7ff362fcc9b0244d2875e48857da2fb"}, "recorded_at": "2026-10-31T15:18:39.633685+00:00"}], "agreement": true, "disagreements": {"analysis_methods": {"minimax": ["consensus clustering", "Principal Component Analysis (PCA)", "t-Distributed Stochastic Neighbor Embedding (t-SNE)", "overall survival analysis", "limma differential expression analysis", "univariate Cox regression analysis", "LASSO Cox regression", "cross-validation", "GO and KEGG enrichment analyses", "Spearman correlation analysis", "oncoPredict drug-sensitivity analysis", "single-cell RNA-seq clustering"], "minimax_alt": ["Consensus clustering using ConsensusClusterPlus with PAM clustering and Spearman distance", "limma differential expression analysis", "univariate Cox regression", "LASSO Cox regression", "GO and KEGG pathway enrichment", "NetworkAnalyst network analysis", "OncoPredict drug-sensitivity analysis", "Spearman correlation analysis", "Principal Component Analysis (PCA)", "t-Distributed Stochastic Neighbor Embedding (t-SNE)", "uniform manifold approximation and projection (UMAP)"], "decisive": false}}, "agreement_basis": {"policy": "decisive_fields", "decisive_fields": ["work_type", "number_stated", "parent_value", "unit"]}, "blinded": true}, "human_critique": {"status": "not_run", "reviewer": null, "signed_at": null, "conflict_checked": false, "commentary": null}, "stages": [{"key": "target_materials", "status": "pending", "reason": null, "evidence": null}, {"key": "independent_readings", "status": "passed", "reason": "The independent readings are incomplete or disagree; the source evidence must resolve the difference.", "evidence": {"provider_errors": []}}, {"key": "source_resolution", "status": "pending", "reason": null, "evidence": null}, {"key": "protocol_reconstruction", "status": "pending", "reason": null, "evidence": null}, {"key": "control_execution", "status": "pending", "reason": null, "evidence": null}, {"key": "control_comparison", "status": "pending", "reason": null, "evidence": null}, {"key": "publication", "status": "pending", "reason": null, "evidence": null}], "gaps": ["review.human_critique", "review.machine_critique.passed"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:566f7a9a24c5fb5904ec6b387599156062a6de73a8d25af0704775d82ffdd3e5", "type": "sep_package", "label": "SEP v1 package for pmid:39775403"}], "activities": [{"id": "activity:conversion:pmid:39775403", "type": "conversion", "used": ["package:566f7a9a24c5fb5904ec6b387599156062a6de73a8d25af0704775d82ffdd3e5"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:minimax", "type": "model", "label": "minimax"}, {"id": "agent:minimax_alt", "type": "model", "label": "minimax_alt"}, {"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}], "source_run_id": "run-20261023T122449232913", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:39775403", "parent_hash": "sha256:ab6bcd63a7fba391dfa13870a1d87567c111b261a0367ca2c3719d2a4cee263f", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:39775403 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.passed", "step:obtain_source_data blocked on data:not_downloaded", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:39775403' does not resolve to a declared asset", "targets"]}