{"id":"W3163983628","doi":"10.1111/cts.13083","title":"Pharmacogenomic‐based personalized medicine: Multistakeholder perspectives on implementational drivers and barriers in the Canadian healthcare system","year":2021,"lang":"en","type":"article","venue":"Clinical and Translational Science","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Health care; Pharmacogenomics; Personalized medicine; Medicine; Business; Public relations; Medical education; Family medicine; Knowledge management; Computer science; Political science; Bioinformatics; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02183994,0.0005448867,0.0005380387,0.002591196,0.03182754,0.01448506,0.002524848,0.002635375,0.002225436],"category_scores_gemma":[0.02717658,0.0005682232,0.0004605409,0.004123986,0.01803279,0.005351179,0.007890644,0.004377492,0.0001031094],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1517032,"about_ca_system_score_gemma":0.2474693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9480914,"about_ca_topic_score_gemma":0.9556867,"domain_scores_codex":[0.9710414,0.01186381,0.0008596244,0.001286883,0.007290238,0.007658089],"domain_scores_gemma":[0.9707017,0.01475539,0.002310857,0.000645815,0.006597664,0.004988487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007452859,0.00008322301,0.05454337,0.0004778897,0.00004678019,0.001643426,0.8070939,0.0008886558,0.001658625,0.08418902,0.005360221,0.04394036],"study_design_scores_gemma":[0.00001208954,0.0000601986,0.0334827,0.0005521298,0.00004290694,0.0002016092,0.9159325,0.001745125,0.000579596,0.008892616,0.03839017,0.0001083684],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7624228,0.003294811,0.005279007,0.1812953,0.0001270639,0.0002618536,0.0001664786,0.00004174569,0.04711105],"genre_scores_gemma":[0.9942047,0.001074875,0.001341387,0.002188636,0.00001068154,0.00003701265,0.00002460657,0.000009727092,0.001108343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9480914,"threshold_uncertainty_score":0.9839041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2621606496445811,"score_gpt":0.5196457410110468,"score_spread":0.2574850913664657,"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."}}