{"id":"W2918993549","doi":"10.1007/s40262-019-00745-5","title":"Differences in Warfarin Pharmacodynamics and Predictors of Response Among Three Racial Populations","year":2019,"lang":"en","type":"article","venue":"Clinical Pharmacokinetics","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"University of Illinois at Chicago; Ministry of Education, Culture, Sports, Science and Technology; University of Chicago","keywords":"Warfarin; Pharmacodynamics; CYP2C9; Medicine; VKORC1; Internal medicine; Dosing; Population; Pharmacokinetics; Cohort; Creatinine; Demography; Atrial fibrillation","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002940528,0.0004169454,0.0008852647,0.0003312654,0.0001010292,0.00002315046,0.0005538188,0.0005046285,0.001132567],"category_scores_gemma":[0.0003987911,0.0004052089,0.0002277762,0.0005085855,0.0007805363,0.0001602337,0.0003586268,0.00158524,0.00005718432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003777514,"about_ca_system_score_gemma":0.0001329343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002920826,"about_ca_topic_score_gemma":0.00004766062,"domain_scores_codex":[0.9952832,0.0013707,0.001677164,0.0006726635,0.0003585481,0.0006376712],"domain_scores_gemma":[0.9966861,0.00180254,0.0004957753,0.0003369798,0.0001597194,0.0005189081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002459713,0.0007310451,0.959601,0.0000694921,0.0001746009,0.00002217016,0.0003706079,0.0008169305,0.02291586,0.0003188937,0.0003902617,0.01212938],"study_design_scores_gemma":[0.007252014,0.0002392178,0.9082745,0.00003196809,0.0003765135,0.00000476254,0.00004617988,0.06290625,0.003946777,0.0007285014,0.01574954,0.0004437177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901251,0.001418047,0.00008322182,0.0003670611,0.005540343,0.0009762179,0.0001816221,0.00007092251,0.001237438],"genre_scores_gemma":[0.995933,0.002084376,0.0002762673,0.0007314254,0.0004689464,0.00003531535,0.00002494379,0.00005184687,0.0003938669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06208932,"threshold_uncertainty_score":0.99984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1895258973453046,"score_gpt":0.4814345391594314,"score_spread":0.2919086418141267,"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."}}