{"id":"W2015553455","doi":"10.3821/1913-701x-143.6.262","title":"Universal Pharmacare Could Cut up to $10.7 Billion from Canada's Annual Drug Bill","year":2010,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001306741,0.001030446,0.0005191977,0.001676759,0.004194782,0.003209882,0.00114026,0.008049916,0.07637594],"category_scores_gemma":[0.008471798,0.0004592103,0.001519616,0.001165265,0.001180178,0.001399177,0.001852692,0.003553384,0.0118552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02593548,"about_ca_system_score_gemma":0.07780398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9026992,"about_ca_topic_score_gemma":0.9418474,"domain_scores_codex":[0.9969004,0.0001210342,0.00005428137,0.0001386349,0.001809493,0.0009761404],"domain_scores_gemma":[0.996195,0.0002592908,0.0000855534,0.00007433143,0.001724093,0.001661776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001118526,0.00007800549,0.001774388,0.00007199819,0.00003256286,0.00009039748,0.0000407853,0.0002322132,0.000430136,0.008063585,0.955748,0.03332601],"study_design_scores_gemma":[0.0001078245,0.00008003216,0.01625579,0.0001818686,0.00005468681,0.0001443135,0.0002273633,0.0008980688,0.000551109,0.001861859,0.9795896,0.00004743332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02405625,0.009804323,0.002988003,0.4634284,0.01198363,0.0004369541,0.02149741,0.004643268,0.4611618],"genre_scores_gemma":[0.116942,0.005131145,0.005235804,0.1425711,0.001564093,0.0001725703,0.00851983,0.0004097684,0.7194538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09730077,"threshold_uncertainty_score":0.2555029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1809505493708178,"score_gpt":0.4307481895094369,"score_spread":0.2497976401386192,"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."}}