{"id":"W4389031173","doi":"10.1093/ofid/ofad500.1772","title":"2149. <i>In vitro</i> Activity of Aztreonam-avibactam and Comparator Agents Against Carbapenem-Resistant Enterobacterales With and Without Carbapenemases, ATLAS Global Surveillance Program, 2017–2021","year":2023,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pfizer (Canada)","funders":"","keywords":"Aztreonam; Klebsiella pneumoniae; Meropenem; Broth microdilution; Ceftazidime/avibactam; Microbiology; Avibactam; Medicine; Klebsiella oxytoca; Carbapenem; Carbapenem-resistant enterobacteriaceae; Imipenem; Escherichia coli; Biology; Minimum inhibitory concentration; Antibiotic resistance; Antimicrobial; Antibiotics; Gene; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001087142,0.0003280158,0.0005014329,0.00005033822,0.0001315528,0.0001867511,0.0002577943,0.0001043805,0.00000620615],"category_scores_gemma":[0.00004452801,0.0002907659,0.00006859193,0.0002576374,0.0003063714,0.00004095596,0.0004708127,0.0000709451,0.000003425072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004858777,"about_ca_system_score_gemma":0.0001428983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006176659,"about_ca_topic_score_gemma":0.005018301,"domain_scores_codex":[0.9982924,0.0001434985,0.0002813807,0.0006529057,0.0001805936,0.0004492479],"domain_scores_gemma":[0.9990355,0.00002512756,0.0002272842,0.0004349737,0.00008398408,0.0001931133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001663412,0.0003211274,0.9197402,0.0001072925,0.0001369909,0.0000344278,0.00001236297,0.00001601459,0.07516792,0.00001647859,0.0006383933,0.002145406],"study_design_scores_gemma":[0.002351585,0.0005269251,0.9859625,0.0001338866,0.0000449369,0.00002357636,0.00009704581,0.00007669257,0.008380732,0.00002371487,0.001976565,0.0004018383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996696,0.0004663888,0.000006472161,0.00006149722,0.00008752993,0.0009770666,0.0006200293,0.00003268227,0.00105231],"genre_scores_gemma":[0.9985635,0.0006069114,0.00008431233,0.00006721592,0.00002974768,0.0000805495,0.0004406278,0.00003182485,0.00009528662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06678719,"threshold_uncertainty_score":0.9999545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009521715426600255,"score_gpt":0.2797233594112609,"score_spread":0.2702016439846607,"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."}}