{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00166951,0.0002596237,0.0004150352,0.0005432193,0.0006869609,0.001032324,0.000726092,0.001346791,0.002345396],"category_scores_gemma":[0.01629375,0.0003669485,0.0008930949,0.001347878,0.0004046221,0.001074562,0.001094187,0.001730045,0.0003121631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155439,"about_ca_system_score_gemma":0.001136515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02488516,"about_ca_topic_score_gemma":0.02704621,"domain_scores_codex":[0.9969708,0.001003368,0.0002931364,0.0005203004,0.0009746739,0.0002377393],"domain_scores_gemma":[0.9837803,0.0061834,0.006777488,0.0008631021,0.001191146,0.001204543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001228669,0.0007954868,0.986061,0.00006530766,0.0002308769,0.0002542482,0.000575388,0.00004949145,0.0001274149,0.00007564487,0.0005186449,0.01001785],"study_design_scores_gemma":[0.00003630909,0.0002714397,0.9983113,0.00001988057,0.0001216562,0.0001834526,0.0003523958,0.0001300058,0.00006152182,0.00005842934,0.0004446866,0.000008949567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950116,0.0002727165,0.0001081397,0.0006605037,0.00002736336,0.00005868905,0.001310585,0.000005907637,0.002544478],"genre_scores_gemma":[0.9976264,0.0002829953,0.0001960307,0.0004779941,0.00005176505,0.00003997839,0.0005830259,0.000005382408,0.0007365634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02488516,"threshold_uncertainty_score":0.04948062,"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."}}