{"id":"W2794150831","doi":"10.1002/clc.22948","title":"Rationale, design, and preliminary results of the Quebec Warfarin Cohort Study","year":2018,"lang":"en","type":"article","venue":"Clinical Cardiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont; McMaster University; Centre Hospitalier de l’Université de Montréal; McGill University; Jewish General Hospital; Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec; Montreal General Hospital; Cegep regional de Lanaudiere; Montreal Heart Institute; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Warfarin; Cohort; Internal medicine; Atrial fibrillation; Cohort study; Stroke (engine); VKORC1; Prospective cohort study; Pediatrics; Intensive care medicine; CYP2C9","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001697719,0.00006777282,0.0004147473,0.00002581634,0.00005364078,0.000003014675,0.00006763853,0.00009312884,0.00001437452],"category_scores_gemma":[0.002047889,0.00004081589,0.0001318227,0.00008301338,0.0004052504,0.0000199667,0.0001376927,0.00009481505,0.00001491495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009895768,"about_ca_system_score_gemma":0.00005680789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006198333,"about_ca_topic_score_gemma":0.00003760532,"domain_scores_codex":[0.9985274,0.0005198568,0.0005235124,0.0002238004,0.0001193282,0.00008610688],"domain_scores_gemma":[0.9981983,0.00118506,0.0001305485,0.0003264647,0.0001200464,0.00003954427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001975843,0.000009227991,0.9910723,0.000004790501,0.0001962894,0.000004131847,0.00005076337,0.00001663005,0.00001229389,0.0001435231,0.004497744,0.002016494],"study_design_scores_gemma":[0.002199692,0.00186659,0.9843982,0.000005751519,0.00025733,0.000006420734,0.00006863041,0.000107345,0.00001484824,0.0001216907,0.01091357,0.00003989789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907922,0.00005559295,0.001054878,0.003295209,0.000617312,0.001765492,0.000001966483,0.00001914365,0.002398234],"genre_scores_gemma":[0.9942461,0.0000229689,0.0003484859,0.0002298754,0.001404222,0.000005225649,0.000005477053,0.000005369486,0.003732332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006674033,"threshold_uncertainty_score":0.2451662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1722647877592943,"score_gpt":0.4225019270402495,"score_spread":0.2502371392809551,"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."}}