Prognostic model construction and immune microenvironment analysis of pyroptosis-related genes in hepatocellular carcinoma based on single-cell RNA sequencing.

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included 60,496 cells.", "number_stated": true, "source_locator": "chars 479-677 of source sha256 76476fcd2e45b6806bb84ed05d15daf3f0e30998c1a77c089f8bbf58ce602d21"}, "recorded_at": "2026-10-31T15:34:21.644348+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "f2282d61d064bc9cd2563874845f7f21c474be3fda90436e13e5aeb1d0d9bdb8", "source_hash": "76476fcd2e45b6806bb84ed05d15daf3f0e30998c1a77c089f8bbf58ce602d21", "raw_response": "<think>We need answer JSON only. Need identify single numerical result headline for main finding, registered target vague \"headline numerical result paper states for main finding.\" Source abstract/results: prognostic model AUC values 0.73,0.65,0.69 at 1,2,3 years. They ask single numerical result replication registered target reproduce, headline number only. Could be 0.73 likely primary/headline AUC one-year. Need exact contiguous quote containing number. Unit printed: AUC values are dimensionless. Need parent_value number, unit perhaps \"AUC\" or maybe no unit? \"unit must be unit paper prints.\" Paper prints area under curve (AUC) values, so unit maybe \"AUC\". Headline number 0.73. Evidence quote whole clause as attribution linked respectively. Need quote whole clause: \"The prognostic model developed in this study stratified patients into high-risk and low-risk categories based on eight significant genes, achieving area under the curve (AUC) values of 0.73, 0.65, and 0.69 for overall survival at one-year, two-year, and three-year intervals, respectively.\" Then target_result maybe \"0.73\" or explanatory. They request headline number only, so perhaps target_result \"0.73\" and all values fields. JSON schema parent_value 0.73, unit \"AUC\", evidence exact clause, target_result maybe \"0.73\". Need ensure no ambiguity whether main finding could be 60,496 cells, 29 PRGs, 10 clusters, AUC. \"single numerical result that a replication of the registered target has to reproduce\" Registered target says headline numerical result paper states for its main finding. Most headline is model performance AUC 0.73. They might expect headline numerical result based abstract. Could potentially say there are three AUCs and no single result, thus no single headline? But instruction singular likely asks select. Need infer benchmark perhaps target extraction task. \"registered target: the headline numerical result the paper states for its main finding\" They expect central result, likely AUC 0.73. The source highlights 0.73, 0.65, 0.69. Yet \"headline number only\" perhaps first number. Unit printed? AUC unitless. Maybe \"area under the curve (AUC)\" as unit. Could output unit \"AUC\". Let's formulate exact contiguous evidence. target_result perhaps \"0.73\" only. Ensure valid JSON, no markdown.</think>\n\n{\"parent_value\":0.73,\"unit\":\"AUC\",\"evidence\":\"The prognostic model developed in this study stratified patients into high-risk and low-risk categories based on eight significant genes, achieving area under the curve (AUC) values of 0.73, 0.65, and 0.69 for overall survival at one-year, two-year, and three-year intervals, respectively.\",\"target_result\":\"0.73\",\"number_stated\":true}", "reading": {"parent_value": 0.73, "unit": "AUC", "evidence": "The prognostic model developed in this study stratified patients into high-risk and low-risk categories based on eight significant genes, achieving area under the curve (AUC) values of 0.73, 0.65, and 0.69 for overall survival at one-year, two-year, and three-year intervals, respectively.", "target_result": "0.73", "number_stated": true, "source_locator": "chars 1387-1676 of source sha256 76476fcd2e45b6806bb84ed05d15daf3f0e30998c1a77c089f8bbf58ce602d21"}, "recorded_at": "2026-10-31T15:34:22.075302+00:00"}], "agreement": false, "disagreements": {"target_result": {"minimax": "The prognostic model achieved area under the curve (AUC) values of 0.73, 0.65, and 0.69 for overall survival at one-year, two-year, and three-year intervals, respectively.", "minimax_alt": "The prognostic model developed in this study stratified patients into high-risk and low-risk categories based on eight significant genes, achieving area under the curve (AUC) values of 0.73, 0.65, and 0.69 for overall survival at one-year, two-year, and three-year intervals, respectively.", "decisive": false}, "analysis_methods": {"minimax": ["LASSO-Cox prognostic model", "timeROC", "Kaplan–Meier survival analysis", "log-rank test", "univariate Cox analysis", "multivariate Cox analysis", "external validation using International Cancer Genome Consortium (ICGC) datasets"], "minimax_alt": ["Single-cell RNA sequencing analysis using Seurat", "SingleR cell-type annotation", "AUCell gene-set activity scoring", "Differential gene expression analysis using Seurat FindAllMarkers and DESeq2", "GO and KEGG functional enrichment analysis using clusterProfiler", "LASSO-Cox prognostic modeling", "External validation using ICGC datasets", "timeROC analysis for calculating AUC", "Kaplan–Meier survival analysis and log-rank test", "Univariate and multivariate Cox analyses", "CIBERSORT immune-cell infiltration analysis"], "decisive": false}, "statistical_method": {"minimax": "timeROC (R package version 0.4) to evaluate prognostic accuracy by calculating the area under the curve (AUC)", "minimax_alt": "timeROC (R package version 0.4)", "decisive": true}, "parent_value": {"minimax": 60496, "minimax_alt": 0.73, "decisive": true}, "unit": {"minimax": "cells", "minimax_alt": "AUC", "decisive": true}}, "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": "blocked", "reason": "The independent readings are incomplete or disagree; 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