{"id":"W2981672451","doi":"10.1017/ice.2019.189","title":"High versus low intensity: What is the optimal approach to prospective audit and feedback in an antimicrobial stewardship program?","year":2019,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario; St Joseph's Health Centre","funders":"","keywords":"Antimicrobial stewardship; Medicine; Intensity (physics); Antimicrobial; Antibiotics; Psychological intervention; Internal medicine; Confidence interval; Intensive care medicine; Nursing; Antibiotic resistance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006754214,0.0002469098,0.0006894069,0.00009519368,0.0001745384,0.0000474864,0.0001120442,0.0003951,0.00002494982],"category_scores_gemma":[0.0001854342,0.0001686743,0.00007989668,0.0001327931,0.000455421,0.0002961481,0.00009022007,0.0004618724,0.0001012662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004371016,"about_ca_system_score_gemma":0.00003096278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007244145,"about_ca_topic_score_gemma":0.0001491232,"domain_scores_codex":[0.9980837,0.0004083611,0.0003700482,0.0006346407,0.0000234167,0.0004798131],"domain_scores_gemma":[0.9989935,0.0004430322,0.0001540542,0.0002517382,0.0001046791,0.00005300461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007163362,0.001444012,0.9246526,0.0001608184,0.0008160454,0.00000668977,0.003079476,0.0004773447,0.006965342,0.007333855,0.002474397,0.04542611],"study_design_scores_gemma":[0.007207758,0.004011398,0.9836589,0.0001111906,0.00008148176,0.00005400644,0.0008617259,0.0003460912,0.0005020086,0.0003305649,0.002427299,0.000407646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904796,0.001407556,0.0003636983,0.004234675,0.001899718,0.001409361,0.00001376825,0.00006611559,0.0001254817],"genre_scores_gemma":[0.9968663,0.0005421928,0.0002653493,0.001964099,0.000101665,0.00005010763,0.00002367831,0.00001513931,0.0001714238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05900628,"threshold_uncertainty_score":0.6878337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131491311099557,"score_gpt":0.2555756744337001,"score_spread":0.2442607613227045,"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."}}