{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001286169,0.0003412158,0.0005572553,0.000382878,0.000201972,0.000684793,0.0002197725,0.0005358896,0.002451314],"category_scores_gemma":[0.002928476,0.0001213288,0.0008200255,0.000721755,0.0003874176,0.0001536724,0.0002010124,0.0005610203,0.0001651596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470942,"about_ca_system_score_gemma":0.0003510654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008979697,"about_ca_topic_score_gemma":0.0009388498,"domain_scores_codex":[0.9990246,0.0005409134,0.00004117676,0.0001961113,0.0001215799,0.00007557793],"domain_scores_gemma":[0.9972644,0.001228731,0.001010784,0.000220669,0.0001286336,0.0001468098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02846373,0.0006400247,0.8871911,0.0004809455,0.005891483,0.0005734117,0.0001481676,0.001796949,0.03758084,0.0006134156,0.001429153,0.03519081],"study_design_scores_gemma":[0.0007538973,0.002001776,0.9879914,0.00002749645,0.001880387,0.000431443,0.00003976836,0.001803444,0.002921349,0.000747584,0.001384318,0.00001717058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943415,0.001754829,0.001085489,0.0004794085,0.00002459651,0.0000460384,0.001374005,0.00001598564,0.0008781021],"genre_scores_gemma":[0.9984585,0.0002474286,0.000364305,0.000199994,0.00002985154,0.00001936298,0.0005236442,0.00000721491,0.0001497692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002451314,"threshold_uncertainty_score":0.008200407,"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."}}