{"id":"W4410313452","doi":"10.1093/cid/ciaf240","title":"On the Optimal Treatment of Metallo-Beta-Lactamase–Producing Enterobacterales Infections Using Aztreonam and Avibactam","year":2025,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Microbial Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"AbbVie Canada; Department of Health and Human Services, State Government of Victoria; Biomedical Advanced Research and Development Authority; Pfizer; Administration for Strategic Preparedness and Response","keywords":"Medicine; Aztreonam; Ceftazidime/avibactam; Gram-negative bacterial infections; Intensive care medicine; Microbiology; Antibiotics; Bacteria; Ceftazidime; Pseudomonas aeruginosa; Antibiotic resistance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000931567,0.0001471649,0.0002359316,0.00004596338,0.0001782449,0.00003090158,0.00007543551,0.00007659647,0.00003250955],"category_scores_gemma":[0.0002290586,0.0001026549,0.0002216568,0.0001112624,0.00023201,0.000004864049,0.00006512344,0.00005716475,0.000003917413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001234811,"about_ca_system_score_gemma":0.00007399222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003551806,"about_ca_topic_score_gemma":0.00002860598,"domain_scores_codex":[0.9990278,0.0001378544,0.0003247631,0.0003386494,0.00004171899,0.0001292083],"domain_scores_gemma":[0.9991659,0.0001993644,0.0001142183,0.000390747,0.00006097143,0.00006882715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002862612,0.01052922,0.6180248,0.0001263699,0.002264347,0.000002975542,0.00009969986,0.001443449,0.3250975,0.01306521,0.004936718,0.02412338],"study_design_scores_gemma":[0.004692981,0.003459716,0.8104167,0.0002016825,0.00276568,0.00001505649,0.0001178091,0.0003750658,0.0811152,0.002000606,0.09401048,0.000829011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973913,0.0008590634,0.0006577265,0.0001942575,0.0002066624,0.0003061269,0.00008861924,0.00001829247,0.0002779369],"genre_scores_gemma":[0.9983317,0.0008703226,0.00003917198,0.0002860103,0.0001668585,0.0000482705,0.00003456119,0.00001024601,0.0002128585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2439823,"threshold_uncertainty_score":0.4186146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724783224908682,"score_gpt":0.3438845651380969,"score_spread":0.3166367328890101,"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."}}