{"id":"W2953802598","doi":"10.71781/840","title":"The risk of cancer in statin users : a clinical and genetic approach","year":2018,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Genome Canada; Pfizer","keywords":"Statin; Cancer; Medicine; Oncology; Bioinformatics; Computer science; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004117943,0.0004670014,0.001132162,0.002868402,0.0005308191,0.001392054,0.0006786366,0.00107256,0.002334083],"category_scores_gemma":[0.008193182,0.0002921386,0.001108362,0.00317655,0.0005836969,0.001015179,0.0008271199,0.000932856,0.0003850049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007818207,"about_ca_system_score_gemma":0.001458261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005166197,"about_ca_topic_score_gemma":0.007430275,"domain_scores_codex":[0.998086,0.001030217,0.0001821812,0.0002870861,0.0003515397,0.00006302309],"domain_scores_gemma":[0.9958708,0.002280382,0.0006269698,0.000227082,0.0007470739,0.000247765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003116818,0.000315046,0.8685027,0.002986314,0.002131024,0.0004034171,0.0006130282,0.0007529877,0.002264641,0.002694278,0.003666168,0.1125536],"study_design_scores_gemma":[0.0001967867,0.001768497,0.9629846,0.001624259,0.002183641,0.001658976,0.001245312,0.001910207,0.0006206112,0.004685713,0.02105527,0.00006612142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5405807,0.3893839,0.01213916,0.02678215,0.00115153,0.0006325484,0.004584017,0.00006952633,0.02467657],"genre_scores_gemma":[0.8971103,0.08267107,0.008571249,0.004788383,0.002002357,0.000550094,0.001214886,0.0000249666,0.003066718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005166197,"threshold_uncertainty_score":0.02177799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005631500754413415,"score_gpt":0.2188042935965527,"score_spread":0.2131727928421393,"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."}}