{"id":"W4306644058","doi":"10.1089/mdr.2022.0104","title":"Antimicrobial Activity of Ceftazidime–Avibactam and Comparators Against Fluoroquinolone-Resistant <i>Klebsiella pneumoniae</i> Collected Globally from Antimicrobial Testing Leadership and Surveillance: 2018–2019","year":2022,"lang":"en","type":"article","venue":"Microbial Drug Resistance","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":"Tigecycline; Broth microdilution; Klebsiella pneumoniae; Colistin; Ceftazidime/avibactam; Microbiology; Ceftazidime; Antimicrobial; Piperacillin; Cefepime; Meropenem; Biology; Imipenem; Aztreonam; Minimum inhibitory concentration; Antibiotic resistance; Antibiotics; Bacteria; Escherichia coli; Pseudomonas aeruginosa","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":[0.0004967334,0.0005830721,0.0008374837,0.0001162748,0.0006638669,0.0001418351,0.0006402954,0.0002327751,0.00001708014],"category_scores_gemma":[0.0001579581,0.0006846025,0.0001513855,0.0005402846,0.0007862922,0.00002649022,0.0007405872,0.0004166449,0.000003199958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001316636,"about_ca_system_score_gemma":0.0003443615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003233211,"about_ca_topic_score_gemma":0.001257556,"domain_scores_codex":[0.9962882,0.0005722778,0.0007433104,0.001258342,0.0003376083,0.0008003083],"domain_scores_gemma":[0.9980506,0.0001650272,0.000668625,0.0007396966,0.0002005289,0.0001754714],"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":[0.00223053,0.0001917798,0.01717864,0.000173802,0.0001287351,0.00002284397,0.0001352374,0.00006352907,0.9385678,0.000007266021,0.04110229,0.0001975797],"study_design_scores_gemma":[0.003951895,0.0002564689,0.0898431,0.000297684,0.00008657712,0.00006041248,0.000237138,0.00004951368,0.8764921,0.00001940313,0.0271423,0.001563372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932754,0.002197578,0.00005185611,0.0004818868,0.0005059417,0.000619719,0.002466799,0.00005667651,0.0003441492],"genre_scores_gemma":[0.995162,0.0003759865,0.00237008,0.000378416,0.0001652108,0.000009423814,0.0004003652,0.0000868458,0.001051664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07266446,"threshold_uncertainty_score":0.9995605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305289295314479,"score_gpt":0.2147987040735863,"score_spread":0.2017458111204415,"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."}}