{"id":"W2522860656","doi":"10.1038/gim.2016.141","title":"Prescription medication changes following direct-to-consumer personal genomic testing: findings from the Impact of Personal Genomics (PGen) Study","year":2016,"lang":"en","type":"article","venue":"Genetics in Medicine","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Research Resources; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Center for Advancing Translational Sciences; National Human Genome Research Institute; Brigham and Women's Hospital; National Cancer Institute; National Institutes of Health; University of Minnesota; Stichting Jo Kolk Studiefonds; School of Public Health, University of Michigan; McMaster University; Canadian Institutes of Health Research; U.S. Department of Veterans Affairs","keywords":"Pharmacogenomics; Medicine; Medical prescription; Confidence interval; Odds ratio; Adverse effect; Genetic testing; Prescription drug; Pharmacy; Family medicine; Health care; Personal genomics; Internal medicine; Pharmacology; Genomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001997536,0.0003200796,0.0004974768,0.0002168789,0.0001735176,0.000009704198,0.0005255163,0.0001871857,0.0006599685],"category_scores_gemma":[0.0005648654,0.0001920989,0.000112711,0.0003579956,0.0002645933,0.00003519583,0.0001738003,0.0003951947,0.00004015041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002056934,"about_ca_system_score_gemma":0.0001883114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004756789,"about_ca_topic_score_gemma":0.0001314155,"domain_scores_codex":[0.9974662,0.0005383846,0.0005663296,0.0005059986,0.0004138834,0.000509219],"domain_scores_gemma":[0.9979165,0.001178118,0.0002059164,0.0002832764,0.0001260371,0.0002901362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001729134,0.0001983742,0.3504091,0.000005674385,0.0002946762,0.000009271357,0.01266877,0.00008553822,0.6014786,0.000001907506,0.001349216,0.03332601],"study_design_scores_gemma":[0.006661494,0.0008044758,0.9481675,0.0001012408,0.0007507878,0.000007600192,0.001501497,0.003839618,0.02564318,0.000188225,0.0119366,0.0003977841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98804,0.007006724,0.0001059304,0.001841751,0.001519653,0.0009494328,0.0001832208,0.00002705687,0.0003261763],"genre_scores_gemma":[0.9964641,0.001267254,0.0002420375,0.0007925068,0.0009471309,0.00009041921,0.00002278551,0.00004132031,0.0001323953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5977584,"threshold_uncertainty_score":0.7833568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1515590852857511,"score_gpt":0.4378002259921142,"score_spread":0.2862411407063631,"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."}}