{"id":"W2753130757","doi":"10.1093/ofid/ofx162.052","title":"The Ontario Program To Improve AntiMIcrobial USE (OPTIMISE): A Descriptive Analysis of Dispensed Antibiotics","year":2017,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Antibiotics; Population; Medical prescription; Antimicrobial stewardship; Norfloxacin; Antibiotic resistance; Nitrofurantoin; Ciprofloxacin; Pediatrics; Environmental health; Microbiology; Pharmacology","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":[0.0009361855,0.0002916563,0.0004780962,0.002114981,0.001145031,0.0008925289,0.001005725,0.0002987743,0.001982976],"category_scores_gemma":[0.004845317,0.0003505619,0.001076544,0.006831919,0.0004636538,0.0003807819,0.0009147082,0.0003949644,0.0002154191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01683819,"about_ca_system_score_gemma":0.0291459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9615178,"about_ca_topic_score_gemma":0.970807,"domain_scores_codex":[0.9983448,0.0001490798,0.0001821311,0.0002125388,0.00075969,0.0003518542],"domain_scores_gemma":[0.994468,0.0005203741,0.001908876,0.0002055925,0.002285484,0.0006116842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009417967,0.00003652897,0.9931566,0.0001018813,0.00006465094,0.00004619681,0.000523914,0.0001363962,0.0000901302,0.00005717562,0.002433012,0.003259375],"study_design_scores_gemma":[0.000006641007,0.00001954566,0.9979613,0.00002572914,0.00001752688,0.0000216162,0.000448926,0.0002961526,0.00002506639,0.000008414786,0.001163219,0.000005806355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309567,0.0004904474,0.0004822173,0.0003548352,0.0000108643,0.0005241142,0.06277251,0.00004149981,0.004366755],"genre_scores_gemma":[0.9770323,0.0004704842,0.001113513,0.0001587774,0.00001409125,0.0004084524,0.01912295,0.00002564107,0.001653728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03848225,"threshold_uncertainty_score":0.1221702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016108507960432,"score_gpt":0.2804309115181454,"score_spread":0.2643224035577134,"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."}}