{"id":"W2950428394","doi":"10.1200/cci.18.00102","title":"Meta-Analysis of 1,200 Transcriptomic Profiles Identifies a Prognostic Model for Pancreatic Ductal Adenocarcinoma","year":2019,"lang":"en","type":"review","venue":"JCO Clinical Cancer Informatics","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; Mount Sinai Hospital; Princess Margaret Cancer Centre; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; Canadian Institutes of Health Research; Hebrew University of Jerusalem; Government of Ontario","keywords":"Hazard ratio; Gene expression profiling; Proportional hazards model; Malignancy; Oncology; Pancreatic cancer; Receiver operating characteristic; Survival analysis; Pancreatic ductal adenocarcinoma; Transcriptome; Microarray; Internal medicine; Adenocarcinoma; Bioinformatics; Biology; Medicine; Confidence interval; Computational biology; Gene; Cancer; Gene expression; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007650641,0.001437247,0.002543071,0.00249683,0.0005718201,0.002129359,0.001010792,0.0008140671,0.00140298],"category_scores_gemma":[0.009698588,0.0005982706,0.01128102,0.002994483,0.0004097235,0.0008198754,0.0008984653,0.001204691,0.0002590871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005356483,"about_ca_system_score_gemma":0.0008353036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003518756,"about_ca_topic_score_gemma":0.004868367,"domain_scores_codex":[0.9959424,0.002171558,0.0002730335,0.001127395,0.0003477216,0.0001377866],"domain_scores_gemma":[0.9926984,0.005536919,0.0005308083,0.0008437041,0.0002135976,0.0001767042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004261615,0.00009636887,0.6961118,0.001601891,0.2378433,0.0004374791,0.00008742861,0.02003114,0.006680442,0.0004284448,0.002304744,0.03011533],"study_design_scores_gemma":[0.0005371204,0.001364501,0.5755194,0.0006124872,0.2765397,0.001063631,0.0002881525,0.1292663,0.003695691,0.004947438,0.006027239,0.0001383802],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8652082,0.08267877,0.03442569,0.002495164,0.0004027156,0.00009613308,0.0127969,0.0006417438,0.001254605],"genre_scores_gemma":[0.9912457,0.002667445,0.003072462,0.0001853177,0.00006406361,0.00004257516,0.002456857,0.00006101787,0.0002044937],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007650641,"threshold_uncertainty_score":0.04046094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5852000031908167,"score_gpt":0.542822965173494,"score_spread":0.04237703801732262,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}