{"id":"W2483167889","doi":"10.1186/s12879-016-1679-8","title":"Reducing co-administration of proton pump inhibitors and antibiotics using a computerized order entry alert and prospective audit and feedback","year":2016,"lang":"en","type":"article","venue":"BMC Infectious Diseases","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Toronto East General Hospital; University of Toronto","funders":"Department of Medicine, University of Toronto; Toronto East General Hospital Foundation","keywords":"Medicine; Antibiotics; Antimicrobial stewardship; Clostridium difficile; Antibiotic Stewardship; Prospective cohort study; Stewardship (theology); Lansoprazole; Audit; Intensive care medicine; Metronidazole; Proton-pump inhibitor; Medical microbiology; Internal medicine; Emergency medicine; Antibiotic resistance; Microbiology; Helicobacter pylori","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":[0.004759722,0.000499347,0.0005725605,0.0009596316,0.0004206516,0.0009888234,0.0005616744,0.0004144781,0.001102499],"category_scores_gemma":[0.02482865,0.0002766892,0.0004619463,0.000882656,0.0003540495,0.0006396604,0.0009002618,0.0005570942,0.0001524193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002578676,"about_ca_system_score_gemma":0.007607496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01494023,"about_ca_topic_score_gemma":0.02738624,"domain_scores_codex":[0.9957663,0.001928553,0.0004904587,0.0003115304,0.001093223,0.0004098225],"domain_scores_gemma":[0.9750343,0.007989357,0.009572455,0.0008809064,0.003650497,0.002872476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005156576,0.005773687,0.7652582,0.000627862,0.0002189255,0.0002225477,0.001272831,0.002583115,0.003307318,0.00006241829,0.002121032,0.2133956],"study_design_scores_gemma":[0.0006577942,0.01140775,0.9776219,0.0001764705,0.0001932196,0.0002267388,0.0005467251,0.005450056,0.002411021,0.00005490554,0.001208525,0.00004494669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969401,0.0002426605,0.0009064084,0.0003790625,0.00002986952,0.0004429051,0.0001179054,0.0001000817,0.0008410859],"genre_scores_gemma":[0.9957358,0.0002023204,0.003330625,0.0001127142,0.00003263445,0.0001670975,0.0001511404,0.000004670759,0.0002630985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01494023,"threshold_uncertainty_score":0.02970654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008787068288769673,"score_gpt":0.2446219804246223,"score_spread":0.2358349121358526,"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."}}