{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008686823,0.00007892331,0.0002135515,0.0001887684,0.00002822678,0.00001627145,0.0001948716,0.00003243437,0.001358253],"category_scores_gemma":[0.0005377447,0.00007892444,0.0001114089,0.00009206676,0.00002106796,0.0004099961,0.00002862915,0.0001762545,0.000002948085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008874616,"about_ca_system_score_gemma":0.002942048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1604023,"about_ca_topic_score_gemma":0.5722917,"domain_scores_codex":[0.9987196,0.0002591614,0.0006067794,0.0001265455,0.0001791624,0.00010874],"domain_scores_gemma":[0.9972009,0.0003816375,0.0008612259,0.00006590746,0.001471793,0.0000185552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01737909,0.003015912,0.4325385,0.0001040352,0.0409669,0.0005418881,0.004466401,0.1070416,0.3139766,0.0006419292,0.03479493,0.04453222],"study_design_scores_gemma":[0.04190265,0.0001042125,0.05149438,0.0002054778,0.01014129,0.0009242494,0.001605581,0.01234828,0.5890988,0.0001235493,0.2916111,0.0004404674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991447,0.001695624,0.001655448,0.001203416,0.002724835,0.0002294409,0.00007143505,0.000001982297,0.0009708382],"genre_scores_gemma":[0.9983646,0.0001503681,0.0005029131,0.0002464761,0.00005277629,0.000003998811,0.00009944889,0.000005394266,0.0005740466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4118894,"threshold_uncertainty_score":0.9995546,"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."}}