{"id":"W4200267593","doi":"10.1093/ofid/ofab466.1457","title":"1265. <i>In Vitro</i> Activity of Aztreonam-Avibactam against <i>Klebsiella pneumoniae</i> Isolates Analyzed by Epidemic Lineage and Hypervirulence Factors Collected in China as Part of the ATLAS Global Surveillance Study in 2019","year":2021,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pfizer (Canada)","funders":"","keywords":"Klebsiella pneumoniae; Broth microdilution; Aztreonam; Microbiology; Ceftazidime/avibactam; Meropenem; Avibactam; Tigecycline; Biology; Multilocus sequence typing; Carbapenem; Medicine; Minimum inhibitory concentration; Imipenem; Antimicrobial; Gene; Genetics; Antibiotics; Genotype; Antibiotic resistance; Escherichia coli","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":[0.0003025272,0.0004198548,0.0003874021,0.0005457841,0.0002089002,0.0003086472,0.0002290835,0.0002615514,0.001516546],"category_scores_gemma":[0.0003877318,0.000171254,0.0005410007,0.0007114479,0.0001677324,0.0001356493,0.0001749933,0.0002091777,0.0005059753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002434451,"about_ca_system_score_gemma":0.0003531885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008924768,"about_ca_topic_score_gemma":0.007470198,"domain_scores_codex":[0.9995363,0.00009103848,0.00007435874,0.0001069831,0.0001104357,0.00008093101],"domain_scores_gemma":[0.9997457,0.00004438904,0.0000597985,0.00002119688,0.00008190324,0.00004699434],"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":[0.001581225,0.0004490462,0.363227,0.0003543491,0.0001564292,0.0003570653,0.0003130384,0.0006748618,0.6175591,0.00005312103,0.001565883,0.01370866],"study_design_scores_gemma":[0.00003283917,0.002219139,0.8326679,0.00002832107,0.0001658668,0.0006708419,0.0003319604,0.001758121,0.159616,0.00002006189,0.002465963,0.00002290129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944938,0.0003771996,0.0001930439,0.00003561458,0.00001777765,0.00003214383,0.004061285,0.00001701196,0.0007721402],"genre_scores_gemma":[0.9867986,0.0001962021,0.0007836498,0.0000416868,0.00001192125,0.00003140937,0.01149445,0.000006216408,0.0006359646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008924768,"threshold_uncertainty_score":0.01774567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00479918556300711,"score_gpt":0.248050471127129,"score_spread":0.2432512855641219,"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."}}