{"id":"W7115029826","doi":"","title":"Who is your doctor?: Physician characteristics, use of potentially inappropriate medications, and subsequent risk of adverse drug events","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Foundation for Advancement of International Medical Education and Research","keywords":"Adverse effect; Drug; MEDLINE; Event (particle physics); Risk assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009908845,0.0001355516,0.0002603031,0.0007391671,0.0005375018,0.0009088425,0.0003639405,0.0009937022,0.003705295],"category_scores_gemma":[0.007476521,0.000284662,0.0005429144,0.001259736,0.0003216603,0.0007257693,0.0004841851,0.0008343156,0.0005311004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004542246,"about_ca_system_score_gemma":0.0008191086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01721057,"about_ca_topic_score_gemma":0.02637826,"domain_scores_codex":[0.9992698,0.0002167963,0.0001006546,0.0001144977,0.0001742553,0.0001240239],"domain_scores_gemma":[0.9932854,0.001381268,0.003816859,0.0001491371,0.0003685951,0.0009986374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004861636,0.0000316255,0.9986482,0.00001659092,0.00003199343,0.00003025333,0.00007845964,0.00001162429,0.00002197814,0.00001201251,0.0001809146,0.0008876969],"study_design_scores_gemma":[0.000007119747,0.00005748423,0.998921,0.00003796157,0.00002911251,0.0001663988,0.0003631921,0.0001090179,0.00001791591,0.00002337008,0.0002642474,0.000003164441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943529,0.002265332,0.00006517966,0.001173162,0.00003735493,0.00001656349,0.0005869913,0.000003257379,0.001499256],"genre_scores_gemma":[0.9981474,0.0008124849,0.00009145818,0.0002762851,0.00004814688,0.000009428046,0.0002190127,0.000001475401,0.0003942812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01721057,"threshold_uncertainty_score":0.03422081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05339773774570549,"score_gpt":0.3582638434244992,"score_spread":0.3048661056787937,"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."}}