{"id":"W4309825818","doi":"10.1093/fampra/cmac124","title":"Improving prescribing: a feasibility study of pharmacogenetic testing with clinical decision support in primary healthcare in Singapore","year":2022,"lang":"en","type":"article","venue":"Family Practice","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Nanyang Technological University","keywords":"Medicine; Pharmacogenetics; Health care; Clinical decision support system; Primary health care; Primary care; Family medicine; Genotype; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00980988,0.0003323685,0.0007048699,0.0003570126,0.0003034287,0.00002217716,0.0005831096,0.0001584205,0.0001222226],"category_scores_gemma":[0.001542098,0.0003383597,0.00007992067,0.001297691,0.0001264088,0.0003061706,0.0006953545,0.002822045,0.000006013778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002985446,"about_ca_system_score_gemma":0.001017535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005900831,"about_ca_topic_score_gemma":0.0001279892,"domain_scores_codex":[0.9909416,0.005045826,0.001662776,0.0009329767,0.000726745,0.0006900903],"domain_scores_gemma":[0.9938114,0.004253358,0.0008825559,0.0004724279,0.0002944221,0.0002857825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009849744,0.01396361,0.7651264,0.0001412121,0.0001154715,0.001022572,0.00384805,0.01159369,0.02979974,0.000008010068,0.0003738209,0.1641576],"study_design_scores_gemma":[0.04076005,0.007262998,0.8678926,0.00006620889,0.0009687277,0.0002912485,0.01977657,0.01989485,0.001741211,0.0001373543,0.04005816,0.001150008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925676,0.001698534,0.0000438684,0.0003403518,0.001104296,0.002223528,0.0000684585,0.00004933053,0.001904007],"genre_scores_gemma":[0.9915073,0.0001655911,0.00328437,0.004584369,0.0001197007,0.0002325557,0.00001972222,0.00005232187,0.0000340828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1630076,"threshold_uncertainty_score":0.9999068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3307162113090567,"score_gpt":0.5082645261015374,"score_spread":0.1775483147924807,"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."}}