{"id":"W2317129371","doi":"10.1093/jac/dkv502","title":"Ertapenem for the treatment of bloodstream infections due to ESBL-producing Enterobacteriaceae: a multinational pre-registered cohort study","year":2016,"lang":"en","type":"article","venue":"Journal of Antimicrobial Chemotherapy","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Allergy and Infectious Diseases; European Regional Development Fund; AstraZeneca; Geriatric Research Education and Clinical Center; Astellas Pharma; National Institutes of Health; Basilea Pharmaceutica; Ministerio de Economía y Competitividad; Instituto de Salud Carlos III; NIH Clinical Center; U.S. Department of Veterans Affairs; European Society of Clinical Microbiology and Infectious Diseases; Gilead Sciences; Pfizer","keywords":"Ertapenem; Medicine; Internal medicine; Propensity score matching; Carbapenem; Retrospective cohort study; Bacteremia; Mortality rate; Cohort; Microbiology; Antibiotics; Meropenem; Antibiotic resistance; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005678733,0.0006729214,0.000670439,0.0006285959,0.0006688251,0.0009290162,0.0008968411,0.0006016349,0.002628143],"category_scores_gemma":[0.006421202,0.0007020627,0.001657224,0.00135616,0.0004421565,0.000742342,0.001022207,0.001055861,0.000534432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008714944,"about_ca_system_score_gemma":0.001808724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004689887,"about_ca_topic_score_gemma":0.005751615,"domain_scores_codex":[0.9967449,0.001457008,0.0003352839,0.0007075548,0.0004643463,0.0002908952],"domain_scores_gemma":[0.992914,0.0008810325,0.002896124,0.001810102,0.0006907065,0.0008080839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01886637,0.001424089,0.9678472,0.0001795728,0.002160467,0.0004048873,0.0002507872,0.0002065924,0.0008525054,0.0001259946,0.0014359,0.006245628],"study_design_scores_gemma":[0.004786447,0.008241988,0.9780363,0.0001147885,0.002380461,0.001357047,0.0003792612,0.001319888,0.0004701838,0.00009703677,0.002760737,0.00005585574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957438,0.0005827352,0.0005043885,0.00009935202,0.00002316232,0.0003469264,0.002402905,0.000006708548,0.0002901423],"genre_scores_gemma":[0.9923806,0.0006675269,0.001175769,0.0002710499,0.00008736138,0.0004925336,0.004379139,0.00001886429,0.000527185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005678733,"threshold_uncertainty_score":0.03003234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148671836303481,"score_gpt":0.2830941608519664,"score_spread":0.2716074424889316,"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."}}