{"id":"W3126457643","doi":"10.1161/circgen.120.003183","title":"Pharmacogenomics of the Efficacy and Safety of Colchicine in COLCOT","year":2021,"lang":"en","type":"article","venue":"Circulation Genomic and Precision Medicine","topic":"Inflammasome and immune disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep regional de Lanaudiere; Montreal Heart Institute; Université du Québec à Montréal","funders":"Canadian Institutes of Health Research; British Heart Foundation","keywords":"Medicine; Hazard ratio; Pharmacogenomics; Myocardial infarction; Internal medicine; Pharmacogenetics; Genome-wide association study; Imputation (statistics); Colchicine; Single-nucleotide polymorphism; Pharmacology; Confidence interval; Genotype; Genetics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000250671,0.00006444803,0.0001535264,0.00003109899,0.00003161666,0.000001481987,0.00005416535,0.0000555824,0.00003333092],"category_scores_gemma":[0.0001388409,0.00004848624,0.00002165026,0.00009407885,0.0001239264,0.000002023455,0.00007166476,0.00004699677,1.994296e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005525461,"about_ca_system_score_gemma":0.00004860105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009905214,"about_ca_topic_score_gemma":0.000008764227,"domain_scores_codex":[0.9993656,0.00006439223,0.000299163,0.0001407676,0.00006668022,0.00006336541],"domain_scores_gemma":[0.9996017,0.00004419299,0.0001032128,0.0001620829,0.00006777157,0.00002103261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001812906,0.00001718408,0.0419953,0.00002525316,0.00001840445,3.08953e-7,0.0002982244,0.0003585287,0.9451988,0.00007241422,0.0000612778,0.01177298],"study_design_scores_gemma":[0.004077629,0.0000913562,0.8939932,0.00009287807,0.00003507431,0.00001417714,0.0003141467,0.0003661097,0.09375271,0.0001597302,0.007025042,0.0000779479],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920259,0.006700267,0.00027352,0.0002394019,0.00009585574,0.000166553,0.00000516313,7.783822e-7,0.0004925726],"genre_scores_gemma":[0.9972692,0.002394913,0.0000501804,0.0001269641,0.0000377521,0.000001458025,0.00003438748,0.000005641381,0.00007953071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8519979,"threshold_uncertainty_score":0.1977211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002767498679111,"score_gpt":0.2557441662656154,"score_spread":0.2457164912788243,"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."}}