{"id":"W2096021509","doi":"10.1503/cmaj.071540","title":"Effect of regulatory warnings on antipsychotic prescription rates among elderly patients with dementia: a population-based time-series analysis","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Health Sciences Centre; Queen's University; Sunnybrook Health Science Centre; Vale (Canada); University of Toronto","funders":"Canadian Institutes of Health Research; Kidney Foundation of Canada; Canadian Diabetes Association; Heart and Stroke Foundation of Canada","keywords":"Dementia; Medical prescription; Antipsychotic; Series (stratigraphy); Population; Medicine; Psychiatry; Schizophrenia (object-oriented programming); Computer science; Gerontology; Internal medicine; Environmental health; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.005713168,0.000348513,0.000522488,0.00108715,0.000292874,0.0008740287,0.0006376858,0.0007031005,0.00128967],"category_scores_gemma":[0.0235216,0.0002249837,0.001742855,0.00152668,0.0004072989,0.0004976253,0.0004800681,0.001132137,0.0001316052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900233,"about_ca_system_score_gemma":0.001552426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0821129,"about_ca_topic_score_gemma":0.0427056,"domain_scores_codex":[0.9965504,0.001419565,0.0003460774,0.0005186098,0.0008419511,0.0003234093],"domain_scores_gemma":[0.9754252,0.01144822,0.009095491,0.001202552,0.001877086,0.0009513434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006666911,0.00009711549,0.9948,0.00002316194,0.0005691593,0.00009393198,0.00006552076,0.001202734,0.00007595281,0.00005495184,0.0002122282,0.002138465],"study_design_scores_gemma":[0.00003915283,0.000274136,0.9904568,0.00001054448,0.0002392124,0.0001056398,0.00006445405,0.008450481,0.00007528926,0.00005431537,0.0002183684,0.00001178101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978225,0.0003143207,0.0003317841,0.0001569596,0.00001108143,0.00002513045,0.0009772039,0.0000114971,0.0003494566],"genre_scores_gemma":[0.9986767,0.0001035253,0.0001419492,0.00003549302,0.00001241633,0.00001386095,0.0009249999,0.000001939372,0.00008917551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0821129,"threshold_uncertainty_score":0.1632699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024207667898729,"score_gpt":0.2759098395943153,"score_spread":0.265667762915328,"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."}}