{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004827165,0.0005677365,0.0006333668,0.0004464134,0.0002172122,0.0005982618,0.0003081362,0.0004154459,0.001207051],"category_scores_gemma":[0.0006874802,0.0001878472,0.0005508531,0.0007537855,0.0001962189,0.0002860168,0.0004890329,0.0003926129,0.0004345721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000282369,"about_ca_system_score_gemma":0.0004261567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005296018,"about_ca_topic_score_gemma":0.006453435,"domain_scores_codex":[0.9991261,0.0001865095,0.0001594335,0.0001603944,0.0002690197,0.00009840093],"domain_scores_gemma":[0.9995252,0.0001027073,0.00009535587,0.00003021419,0.0001865365,0.00006000643],"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":[0.002113827,0.0008242649,0.07197717,0.0009036743,0.0002527048,0.0004471902,0.0005362883,0.001024795,0.9060247,0.00004320223,0.0006588832,0.01519328],"study_design_scores_gemma":[0.00009163552,0.01754596,0.4203511,0.0001497784,0.0005257312,0.002033216,0.00105716,0.001513038,0.5490846,0.00004967117,0.007528993,0.00006906445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941189,0.001755845,0.0002017953,0.00007515504,0.00003526714,0.00004731027,0.002463331,0.00001365939,0.001288666],"genre_scores_gemma":[0.9903802,0.001089345,0.001170359,0.00009807909,0.00003194778,0.00003985874,0.005493654,0.000008343888,0.001688141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005296018,"threshold_uncertainty_score":0.01053041,"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."}}