{"id":"W4311614190","doi":"10.1093/ofid/ofac492.115","title":"1649. Ceftolozane-Tazobactam or Ceftazidime-Avibactam Versus Best Available Therapy in the Treatment of Difficult-to-Treat Pseudomonas aeruginosa Infections: a Retrospective Comparative Effectiveness Analysis of 195 U.S. Hospitals, 2016–2020","year":2022,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Ceftazidime/avibactam; Ceftazidime; Poisson regression; Tazobactam; Antibiotics; Pseudomonas aeruginosa; Intensive care medicine; Retrospective cohort study; Piperacillin/tazobactam; Avibactam; Internal medicine; Emergency medicine; Antibiotic resistance; Piperacillin; Imipenem; Microbiology; Population; Biology","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":[0.0002178279,0.0004167884,0.0009580234,0.0002573387,0.0003811156,0.00008813218,0.0005875433,0.00009661704,0.0004114149],"category_scores_gemma":[0.0001148414,0.0002998014,0.0003993662,0.001956632,0.0002201533,0.00003425127,0.0002718409,0.0001094952,0.00001387065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003372574,"about_ca_system_score_gemma":0.0003082537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002411391,"about_ca_topic_score_gemma":0.002057623,"domain_scores_codex":[0.997341,0.0006706491,0.000502358,0.0007470452,0.0003247376,0.0004142327],"domain_scores_gemma":[0.9980929,0.0002959887,0.0004106071,0.0008532889,0.0002354468,0.0001117671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006910788,0.007289045,0.9628218,0.00002865896,0.002456943,0.000021673,0.0005931527,0.00175774,0.01543707,0.0001097975,0.002032708,0.0005405704],"study_design_scores_gemma":[0.008243137,0.02928898,0.923507,0.00005730348,0.001493881,0.00001622179,0.003246013,0.00004228585,0.02652031,0.00005628523,0.006811318,0.0007172342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928041,0.001164531,0.0000210793,0.00004950429,0.0002504409,0.002313619,0.0009924616,0.00001706954,0.00238726],"genre_scores_gemma":[0.9964536,0.001776914,0.00002410718,0.00004745853,0.00003599688,0.0007332767,0.0005777815,0.00003202725,0.0003187966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03931482,"threshold_uncertainty_score":0.9999454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757924865487525,"score_gpt":0.3036604325658008,"score_spread":0.2860811839109256,"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."}}