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pmid:39921793
Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer.
Discover oncology · 2025 doi:10.1007/s12672-025-01907-7
Paper
partial
Experiment
partial
Data
partial
Analysis
absent
Execution
absent
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Complete file
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out.\",\"number_stated\":true}", "reading": {"parent_value": 74, "unit": "prognostic related genes", "evidence": "Through independent prognostic analysis and clinical correlation analysis, 74 prognostic related genes (PRG) were screened out.", "target_result": "The paper states that 74 prognostic related genes (PRG) were screened out.", "number_stated": true, "source_locator": "chars 460-587 of source sha256 ab9e8592e0e13bd0a8029e7f10dcb238b24460b80215723840a028e5da579b4d"}, "recorded_at": "2026-10-31T15:23:14.847239+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "784d0ed322f920717d28c05b4387c82ed9601e39898a496de001606f8e3b2d08", "source_hash": "ab9e8592e0e13bd0a8029e7f10dcb238b24460b80215723840a028e5da579b4d", "raw_response": "<think>We need answer JSON only. Need interpret registered target: headline numerical result paper states for main finding. Source says 74 prognostic related genes screened, identify four key genes. \"headline numerical result\" likely 74? Registered target main finding maybe headline numerical result perhaps number of PRGs. Need determine singular numerical result replication target. They ask value paper itself states for registered target. Target defined \"the headline numerical result the paper states for its main finding\". Main finding likely 74 prognostic related genes, perhaps abstract: \"Through ... 74 prognostic related genes (PRG) were screened out.\" Is headline numerical result 74 genes. Need report headline number only and unit paper prints. Exact contiguous quote contains number, whole clause attribution. Unit should be printed unit? \"74 prognostic related genes (PRG)\" unit perhaps \"prognostic related genes\". Evidence exact quote whole clause: \"Through independent prognostic analysis and clinical correlation analysis, 74 prognostic related genes (PRG) were screened out.\" parent_value 74, unit \"prognostic related genes\". target_result maybe \"74 prognostic related genes (PRG) were screened out.\" number_stated true.\n\nBut ambiguity: Main finding is four key genes? Yet those are named, numerical count four. User singular target says headline numerical result. Could be 74 in abstract is central sample/result. Let's inspect wording. Title. Abstract has findings. \"Through independent prognostic analysis and clinical correlation analysis, 74 prognostic related genes (PRG) were screened out. A PPI network was established for PRG to identify four key genes...\" Headline numerical result could be 74 prognostic genes. The prompt likely benchmark asks extract target result. Need perhaps infer \"headline numerical result the paper states for its main finding\" perhaps exact abstract key quantitative statement. There is no explicit registry elsewhere. Need return strongest numeric. 74 likely. Unit as paper prints: \"prognostic related genes\" perhaps \"genes\". User says unit must be unit paper prints. Could set \"prognostic related genes\" exact phrase. Evidence quote entire clause. target_result maybe state result. Ensure valid JSON.</think>\n\n{\"parent_value\":74,\"unit\":\"prognostic related genes\",\"evidence\":\"Through independent prognostic analysis and clinical correlation analysis, 74 prognostic related genes (PRG) were screened out.\",\"target_result\":\"74 prognostic related genes (PRG) were screened out.\",\"number_stated\":true}", "reading": {"parent_value": 74, "unit": "prognostic related genes", "evidence": "Through independent prognostic analysis and clinical correlation analysis, 74 prognostic related genes (PRG) were screened out.", "target_result": "74 prognostic related genes (PRG) were screened out.", "number_stated": true, "source_locator": "chars 460-587 of source sha256 ab9e8592e0e13bd0a8029e7f10dcb238b24460b80215723840a028e5da579b4d"}, "recorded_at": "2026-10-31T15:23:16.182526+00:00"}], "agreement": false, "disagreements": {"target_result": {"minimax": "74 prognostic related genes (PRG) were identified, with four key genes (LMOD1, CRYAB, VCL and MYL9); high expression of the key genes was associated with poor prognosis, and multivariate Cox regression analysis showed that the key genes were an independent prognostic factor.", "minimax_alt": "Through independent prognostic analysis and clinical correlation analysis, 74 prognostic related genes (PRG) were screened out. 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