{"id":"W2765507270","doi":"10.1017/ice.2017.222","title":"Evaluating the Relationship Between Hospital Antibiotic Use and Antibiotic Resistance in Common Nosocomial Pathogens","year":2017,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto","funders":"Centers for Disease Control and Prevention; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Antibiotics; Antibiotic resistance; Medicine; Defined daily dose; Pseudomonas aeruginosa; Enterobacter; Internal medicine; Microbiology; Biology; Bacteria; Escherichia coli","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002028371,0.0002630001,0.0007539151,0.00009195368,0.001390547,0.00007723157,0.0001904983,0.0004855212,0.000006130846],"category_scores_gemma":[0.007049648,0.0001904106,0.0001070878,0.00006434255,0.00125246,0.0003206605,0.0001215933,0.0006592477,0.0000309264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003800636,"about_ca_system_score_gemma":0.00003573595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426345,"about_ca_topic_score_gemma":0.001450908,"domain_scores_codex":[0.9971146,0.001150043,0.0006625615,0.0005348122,0.000038158,0.0004998443],"domain_scores_gemma":[0.9929975,0.00576118,0.0006134105,0.0005121541,0.00006881535,0.00004697371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009951375,0.00006257191,0.9898793,0.00003862801,0.00008579362,0.000005940454,0.0001901223,0.00000527362,0.0007457995,0.006648857,0.0001751757,0.002063091],"study_design_scores_gemma":[0.002231115,0.0005889983,0.9920372,0.0001610261,0.0001103629,0.00001146156,0.00003574191,0.00004854377,0.00004850888,0.004111344,0.0003641285,0.0002515939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880455,0.003528338,0.0002452993,0.006459175,0.0008878234,0.0005846755,0.00004444362,0.0000441331,0.0001606779],"genre_scores_gemma":[0.9987798,0.0003592053,0.0001214544,0.0002612298,0.0001460623,0.000005740023,0.00002258733,0.00001771762,0.0002861489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01073442,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07168409677134616,"score_gpt":0.349616969329995,"score_spread":0.2779328725586488,"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."}}