{"id":"W2474252994","doi":"","title":"The unintended (and costly) effects due to the introduction of an unrestricted reimbursement policy for atypical antipsychotic medications in a Canadian public prescription drug program: 1996/97 to 2005/06.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; Programs for Assessment of Technology in Health Research Institute","funders":"","keywords":"Reimbursement; Medicine; Medical prescription; Antipsychotic; Government (linguistics); Drug Utilization Review; Atypical antipsychotic; Prescription drug; Drug; Defined daily dose; Environmental health; Emergency medicine; Psychiatry; Schizophrenia (object-oriented programming); Pharmacology; Economic growth; Health care","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":[0.002669525,0.0003021377,0.0002487183,0.001354701,0.001057656,0.001520585,0.00129985,0.0006505492,0.001316977],"category_scores_gemma":[0.008683002,0.0003175276,0.0007169426,0.003576119,0.0007561824,0.0005569378,0.0009875741,0.001366741,0.000103337],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06720527,"about_ca_system_score_gemma":0.04592526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9807819,"about_ca_topic_score_gemma":0.9880311,"domain_scores_codex":[0.996714,0.0002504293,0.0002328637,0.0002075441,0.001583873,0.001011275],"domain_scores_gemma":[0.9924231,0.0005937277,0.004175275,0.0002135262,0.00176968,0.0008247669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004101579,0.00008864603,0.9843359,0.00009994583,0.0001391784,0.0001736476,0.0003462452,0.001192514,0.0001746167,0.0003428011,0.002157637,0.01053855],"study_design_scores_gemma":[0.000007514624,0.00002748557,0.9979792,0.00003822149,0.00004475087,0.00004588245,0.0002680097,0.0005281245,0.000127803,0.00001977634,0.0009076241,0.000005579673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844279,0.001804888,0.0001671997,0.00232116,0.00002817798,0.00007000458,0.009015887,0.00001523989,0.002149603],"genre_scores_gemma":[0.9940692,0.001118423,0.000325722,0.0003409123,0.00001905437,0.00002487698,0.003312104,0.000005085753,0.0007846503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9327947,"threshold_uncertainty_score":0.4876106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1400771051728788,"score_gpt":0.3809818531253579,"score_spread":0.2409047479524791,"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."}}