{"id":"W4283513605","doi":"10.1016/j.jgar.2022.06.018","title":"In vitro activity of aztreonam/avibactam against isolates of Enterobacterales collected globally from ATLAS in 2019","year":2022,"lang":"en","type":"article","venue":"Journal of Global Antimicrobial Resistance","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pfizer (Canada)","funders":"Università degli Studi di Firenze; Biomedical Advanced Research and Development Authority; Pfizer; U.S. Department of Health and Human Services","keywords":"Enterobacter cloacae; Microbiology; Colistin; Klebsiella pneumoniae; Broth microdilution; Klebsiella oxytoca; Citrobacter freundii; Aztreonam; Tigecycline; Enterobacter aerogenes; Meropenem; Enterobacter; Antimicrobial; Biology; Imipenem; Minimum inhibitory concentration; Escherichia coli; Antibiotic resistance; Antibiotics","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":[],"consensus_categories":[],"category_scores_codex":[0.000305733,0.0002205355,0.0006333489,0.00008842142,0.00004435603,0.00001965649,0.0006255918,0.0001247704,0.00002722083],"category_scores_gemma":[0.0001603566,0.0002282747,0.0002344261,0.000483001,0.0001520058,0.00002954819,0.000241608,0.0002336788,6.614947e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860827,"about_ca_system_score_gemma":0.0003820035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002790173,"about_ca_topic_score_gemma":0.00164868,"domain_scores_codex":[0.9978911,0.000269567,0.0009523749,0.0002945371,0.0002883026,0.0003041681],"domain_scores_gemma":[0.9982579,0.00004867098,0.001150097,0.0002801858,0.000201437,0.00006173996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00990802,0.0004897143,0.04200341,0.00004924765,0.00008784477,0.00004908448,0.00002827976,0.0002854351,0.9416832,0.000009690298,0.005308776,0.00009732447],"study_design_scores_gemma":[0.002752357,0.0003293994,0.2892666,0.0003155327,0.0000295616,0.00002356508,0.00006032259,0.00001715568,0.7026211,0.00008878922,0.004214004,0.0002816326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970173,0.0008311173,0.00005388237,0.0003353923,0.0003697641,0.0001591272,0.001017793,0.000002166049,0.0002135184],"genre_scores_gemma":[0.9976881,0.0005276867,0.001387176,0.0001091302,0.00006613945,9.325126e-7,0.00004389903,0.00001439765,0.0001625949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2472631,"threshold_uncertainty_score":0.930877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004316213906733195,"score_gpt":0.2274207946674865,"score_spread":0.2231045807607533,"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."}}