{"id":"W2129122576","doi":"10.1016/j.thromres.2009.11.020","title":"A regression model to predict warfarin dose from clinical variables and polymorphisms in CYP2C9, CYP4F2, and VKORC1: Derivation in a sample with predominantly a history of venous thromboembolism","year":2010,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario; Ottawa Hospital; University of Ottawa","funders":"Heart and Stroke Foundation of Canada","keywords":"VKORC1; Warfarin; Medicine; Dosing; CYP2C9; Vitamin K epoxide reductase; Maintenance dose; Internal medicine; Pharmacogenomics; Cohort; Genotyping; Pharmacogenetics; Vitamin K antagonist; Venous thromboembolism; Thrombosis; Pharmacology; Atrial fibrillation; Biology; Genotype","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":[0.003757978,0.0002601225,0.0007621169,0.0005475872,0.0001160625,0.00002144992,0.0003678727,0.0004907508,0.0002008327],"category_scores_gemma":[0.0006363834,0.0002221613,0.00003791337,0.0004823588,0.0008319489,0.0001616109,0.0004296876,0.001835365,0.000004933355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202618,"about_ca_system_score_gemma":0.0006266039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003152275,"about_ca_topic_score_gemma":0.001273953,"domain_scores_codex":[0.9964927,0.0009993345,0.0006921,0.000693011,0.0004594203,0.0006634618],"domain_scores_gemma":[0.9972703,0.001587912,0.0001428209,0.0003852053,0.0001982556,0.0004154884],"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":[0.002446684,0.002273703,0.1802915,0.00008877226,0.0001402984,0.00002746625,0.01012356,0.0007637354,0.7737023,0.001240529,0.001387729,0.02751373],"study_design_scores_gemma":[0.009953536,0.0008434625,0.8122055,0.0002564827,0.0001656994,0.0000103264,0.0002607723,0.1354298,0.02259105,0.008380516,0.009321242,0.0005815598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955525,0.001639347,0.0001717012,0.0005119098,0.0003722343,0.000925181,0.0001645786,0.00002186662,0.0006406941],"genre_scores_gemma":[0.9923251,0.00253689,0.004423284,0.0002818799,0.0001391518,0.0001488938,0.0000252565,0.00004061976,0.00007898027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7511112,"threshold_uncertainty_score":0.9059474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.305971368836285,"score_gpt":0.5106648445691896,"score_spread":0.2046934757329046,"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."}}