{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005832512,0.000149976,0.0002458258,0.00006534218,0.0001754272,0.00002314517,0.00002816734,0.0001239375,0.00002007183],"category_scores_gemma":[0.00008130977,0.000107045,0.00002865503,0.00007381389,0.0005108974,0.0001137511,0.00004916352,0.00005643394,0.000002761634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002284901,"about_ca_system_score_gemma":0.0001109078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003648447,"about_ca_topic_score_gemma":0.00001891243,"domain_scores_codex":[0.999212,0.00008631092,0.0002135481,0.0002885432,0.00003044287,0.0001691708],"domain_scores_gemma":[0.9995127,0.0001061032,0.0001603476,0.0001105146,0.00007439048,0.00003589634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004300457,0.0002072949,0.7713661,0.0004403175,0.0001160199,0.000003850952,0.0001612024,0.000001081633,0.2261508,0.0001531262,0.00006229784,0.0009079772],"study_design_scores_gemma":[0.005573826,0.0007340793,0.6441074,0.001208193,0.0002467079,0.0002786506,0.0002112711,0.00004752714,0.3466863,0.0002895395,0.000214929,0.0004015142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966094,0.001223459,0.00119373,0.00002753481,0.0001480027,0.0006025096,0.0000504776,0.00004509521,0.00009977307],"genre_scores_gemma":[0.9992329,0.0004174555,0.0001462838,0.00001407949,0.00004435943,0.000001958462,0.000009004607,0.00001224667,0.000121656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1272586,"threshold_uncertainty_score":0.4365169,"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."}}