{"id":"W17089399","doi":"10.1007/978-3-642-37393-0_226-1","title":"Pharmacogenomics and Personalized Medicine: Bridging Genetic Knowledge and Clinical Practice","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pharmacogenomics; Personalized medicine; Precision medicine; Bridging (networking); Medicine; Clinical Practice; Data science; Bioinformatics; Computer science; Pharmacology; Family medicine; Biology; Pathology","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":[0.001943565,0.0009001155,0.001008643,0.001442799,0.0004757666,0.003485651,0.001233877,0.002662629,0.01375505],"category_scores_gemma":[0.003057013,0.0003804573,0.00040488,0.001683681,0.003639848,0.004345616,0.001823057,0.004630175,0.005984535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396679,"about_ca_system_score_gemma":0.002362683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318004,"about_ca_topic_score_gemma":0.003298352,"domain_scores_codex":[0.9993194,0.0002630933,0.00002691538,0.00007533207,0.0002862302,0.00002899705],"domain_scores_gemma":[0.997883,0.001758739,0.00004435563,0.00006595489,0.000158264,0.00008969737],"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":[0.00003037733,0.00007289965,0.0002454876,0.001042026,0.00003294759,0.0001632479,0.0006296266,0.0008950044,0.0007400296,0.2586802,0.2658166,0.4716516],"study_design_scores_gemma":[0.000008554613,0.00001754836,0.0002884803,0.0009360252,0.00001048835,0.0005229739,0.0001880056,0.0004452998,0.0002026766,0.2421954,0.7551628,0.00002170119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001043388,0.6665137,0.05610654,0.0701183,0.006547682,0.00005738242,0.0003405808,0.0004153448,0.1988572],"genre_scores_gemma":[0.02176017,0.6346165,0.08955378,0.04545117,0.01123669,0.0002095284,0.0004503717,0.0004376749,0.1962841],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01375505,"threshold_uncertainty_score":0.04601526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1459408846233008,"score_gpt":0.4852945158635577,"score_spread":0.339353631240257,"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."}}