{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004553325,0.001112686,0.0009830175,0.0008984062,0.0005391958,0.0008116504,0.00151834,0.0007751039,0.002740163],"category_scores_gemma":[0.009133031,0.0006294361,0.001567963,0.0006972791,0.0002345125,0.0003502459,0.0005399074,0.001873855,0.001009655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005372428,"about_ca_system_score_gemma":0.001408445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418591,"about_ca_topic_score_gemma":0.007015302,"domain_scores_codex":[0.9989842,0.0006407558,0.00005349206,0.0001754083,0.00007211514,0.00007407708],"domain_scores_gemma":[0.9918448,0.006859724,0.0002210768,0.0003360526,0.0005153855,0.0002228431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007927235,0.003089524,0.7903633,0.0001065847,0.004250833,0.0009267988,0.0004202203,0.1049959,0.003284114,0.001029766,0.007921515,0.07568416],"study_design_scores_gemma":[0.0007530779,0.0008969631,0.1216483,0.00003498927,0.001223371,0.0006141685,0.000198546,0.8721078,0.0007872644,0.0007245212,0.0009647549,0.00004625478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789461,0.0002267804,0.0185113,0.0005016904,0.00009284451,0.00007048139,0.001003903,0.0001895678,0.0004572644],"genre_scores_gemma":[0.9884322,0.0001608683,0.007369446,0.00007105619,0.00005762334,0.0001052875,0.001820251,0.00004599916,0.001937271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01418591,"threshold_uncertainty_score":0.02820665,"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."}}