{"id":"W3096256800","doi":"10.1017/ice.2020.1140","title":"Characterization of Ceftazidime-Avibactam-Resistant Carbapenem-Resistant Enterobacteriaceae, United States, 2015–2017","year":2020,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cidara Therapeutics; Public Health Agency of Canada; Sunovion; Public Health Agency; Sanofi; Pfizer","keywords":"Ceftazidime/avibactam; Carbapenem-resistant enterobacteriaceae; Enterobacter cloacae; Klebsiella pneumoniae; Avibactam; Ceftazidime; Microbiology; Enterobacteriaceae; Carbapenem; Broth microdilution; Medicine; Biology; Escherichia coli; Antimicrobial; Antibiotics; Pseudomonas aeruginosa; Minimum inhibitory concentration; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000445904,0.0003055666,0.0006620372,0.0000828633,0.000104975,0.00002059889,0.0001454122,0.0003116235,0.00003363842],"category_scores_gemma":[0.0007153824,0.0002811352,0.000153366,0.0001413537,0.0002866272,0.00002140665,0.00008996248,0.00014984,0.000009113723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002169913,"about_ca_system_score_gemma":0.00004977492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000307559,"about_ca_topic_score_gemma":0.00007277738,"domain_scores_codex":[0.9976946,0.000454336,0.0007981119,0.0005785603,0.00008913389,0.0003852305],"domain_scores_gemma":[0.9985142,0.0001136414,0.0006349768,0.0003064255,0.0002161697,0.0002145417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001192721,0.00008062686,0.1919993,0.00008255028,0.0001850265,0.000003785954,0.00006602589,0.00004421259,0.8048495,0.0003411811,0.000816406,0.0003386716],"study_design_scores_gemma":[0.002266258,0.002782249,0.905575,0.00004881301,0.0001086128,0.000009420561,0.00003551064,0.0007918191,0.009909316,0.0001245693,0.07788518,0.0004632988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988039,0.0004085656,0.007420409,0.00287139,0.0004431991,0.0004069926,0.0002820155,0.00003873266,0.00008965993],"genre_scores_gemma":[0.9943694,0.001931868,0.000177083,0.001861716,0.0003063364,0.00001874064,0.00123975,0.00003246141,0.0000626762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7949402,"threshold_uncertainty_score":0.9999641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306926808399002,"score_gpt":0.2589746819662211,"score_spread":0.2459054138822311,"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."}}