{"id":"W2522936975","doi":"10.9778/cmajo.20150070","title":"Introducing pharmacogenetic testing with clinical decision support into primary care: a feasibility study","year":2016,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Clinical decision support system; Medicine; Genotyping; Decision support system; Pharmacy; Pharmacogenetics; Pharmacist; Personalized medicine; Clinical pharmacy; Family medicine; Genotype; Bioinformatics; Data mining; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0239032,0.0008959238,0.0007940059,0.001179116,0.001775493,0.002071301,0.001236017,0.001807784,0.004651527],"category_scores_gemma":[0.03834759,0.00132064,0.001351394,0.001176082,0.001766361,0.002509842,0.002410427,0.001805234,0.0008389741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002961753,"about_ca_system_score_gemma":0.008822798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006952106,"about_ca_topic_score_gemma":0.009485216,"domain_scores_codex":[0.9783306,0.01615272,0.0009915089,0.001311476,0.00154666,0.001667081],"domain_scores_gemma":[0.9561384,0.02577387,0.00484625,0.003384891,0.003037573,0.006819027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.02661907,0.2644478,0.5860711,0.001196261,0.0004668,0.002068769,0.01339925,0.0008616917,0.001670044,0.0003714603,0.001874506,0.1009533],"study_design_scores_gemma":[0.03202059,0.3882403,0.5607055,0.0004189236,0.0005780776,0.001226123,0.00714898,0.004612213,0.0008557238,0.0006825812,0.003331518,0.0001793943],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916037,0.00009563836,0.000561035,0.0004009993,0.00001923569,0.006055684,0.0001584097,0.00002080656,0.001084579],"genre_scores_gemma":[0.9852272,0.000231869,0.006720021,0.0005948687,0.00009950312,0.00675054,0.0001632777,0.00000766669,0.0002050967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0239032,"threshold_uncertainty_score":0.1264138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2122334567562222,"score_gpt":0.5097739643622945,"score_spread":0.2975405076060723,"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."}}