{"id":"W2793349513","doi":"10.1002/cpt.1048","title":"Research Directions in the Clinical Implementation of Pharmacogenomics: An Overview of US Programs and Projects","year":2018,"lang":"en","type":"review","venue":"Clinical Pharmacology & Therapeutics","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. National Library of Medicine; National Institute of General Medical Sciences; National Cancer Institute; National Human Genome Research Institute","keywords":"Pharmacogenomics; Harm; Precision medicine; Matching (statistics); Dosing; Medicine; Pharmacogenetics; Intensive care medicine; Computer science; Data science; Pharmacology; Psychology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009566558,0.0008272144,0.001008411,0.004510146,0.0005032243,0.002727128,0.001429408,0.00264127,0.005608119],"category_scores_gemma":[0.01084773,0.0004379844,0.001065945,0.005634415,0.001423965,0.003787508,0.001721577,0.003303864,0.001695711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002504173,"about_ca_system_score_gemma":0.01150925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003831499,"about_ca_topic_score_gemma":0.005072698,"domain_scores_codex":[0.9976834,0.000850053,0.0003864002,0.0003192659,0.0006133142,0.0001475645],"domain_scores_gemma":[0.9868395,0.009212369,0.0008853891,0.0002905934,0.002204844,0.0005673557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000057078,0.00008427693,0.0006663221,0.02090183,0.0000851903,0.000129812,0.00018957,0.0004128798,0.0003831091,0.01985176,0.02394225,0.9332959],"study_design_scores_gemma":[0.00001982991,0.0001198664,0.001619235,0.02522762,0.000149853,0.0007195279,0.0002779941,0.0002028866,0.0003876675,0.008137825,0.9631062,0.00003160408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001323828,0.9929649,0.0005058532,0.004554699,0.0002707196,0.00001550933,0.00004161966,0.00001612641,0.001498153],"genre_scores_gemma":[0.001105565,0.9960913,0.001113179,0.001094002,0.0002615241,0.00001894297,0.00004111596,0.00000535274,0.0002689605],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009566558,"threshold_uncertainty_score":0.05059344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8349589273527223,"score_gpt":0.7219242324363636,"score_spread":0.1130346949163586,"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."}}