{"id":"W3147259446","doi":"10.1093/ijpp/riab006","title":"Economic evaluation of pharmacists prescribing for minor ailments in Ontario, Canada: a cost-minimization analysis","year":2021,"lang":"en","type":"article","venue":"International Journal of Pharmacy Practice","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Medicine; Medical prescription; Minor (academic); Government (linguistics); Family medicine; Pharmacist; Remuneration; Formulary; Cost-minimization analysis; Nursing; Pharmacy; Finance; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003321421,0.001171533,0.001052707,0.001495924,0.001182149,0.002030539,0.001597737,0.0008898862,0.002900181],"category_scores_gemma":[0.008028823,0.000684384,0.001559759,0.001803699,0.00075556,0.000613728,0.0008636626,0.0009130238,0.0001079988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0734514,"about_ca_system_score_gemma":0.06190027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9421856,"about_ca_topic_score_gemma":0.911806,"domain_scores_codex":[0.9979164,0.00098944,0.00006545118,0.0001129977,0.000499477,0.000416242],"domain_scores_gemma":[0.9966575,0.001680521,0.0002845067,0.00006900477,0.0009625201,0.0003459868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001007904,0.0002984716,0.02199211,0.0006806249,0.0004942397,0.0002683311,0.0001302159,0.9505562,0.000398108,0.004184156,0.002040144,0.01794957],"study_design_scores_gemma":[0.0006115447,0.0007128313,0.02479296,0.0002091553,0.000580976,0.00007813291,0.0004198598,0.9676787,0.0002873802,0.001408228,0.003159349,0.00006104905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351816,0.003735546,0.01589396,0.003106191,0.00007546179,0.002956674,0.006364042,0.00009997482,0.03258646],"genre_scores_gemma":[0.9886765,0.001110244,0.006350247,0.0001249527,0.00001280784,0.0003381221,0.0009027297,0.000008576963,0.002475738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0734514,"threshold_uncertainty_score":0.5329297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05378284071852266,"score_gpt":0.3727269354749069,"score_spread":0.3189440947563842,"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."}}