{"id":"W3121611836","doi":"10.1128/aac.02317-20","title":"Assessment of Piperacillin-Tazobactam-Meropenem Synergy against Serine Carbapenemase-Producing <i>Enterobacterales</i> Using Time-Kill Assays","year":2021,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ste. Anne's Hospital; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; NIH Clinical Center; National Institutes of Health","keywords":"Meropenem; Klebsiella pneumoniae; Piperacillin/tazobactam; Microbiology; Tazobactam; Piperacillin; Biology; Serine; Bacteria; Antibiotics; Antibiotic resistance; Imipenem; Escherichia coli; Biochemistry; Genetics; Pseudomonas aeruginosa; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008405417,0.0008881057,0.0007007722,0.0005871321,0.0002309881,0.0003574043,0.0004166831,0.0004934432,0.002589897],"category_scores_gemma":[0.0006680291,0.0003339945,0.0004880094,0.0006845189,0.0002501248,0.0004499283,0.0004226493,0.0006879947,0.0004646856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002089158,"about_ca_system_score_gemma":0.0002602777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007867594,"about_ca_topic_score_gemma":0.001393746,"domain_scores_codex":[0.9989176,0.0004402771,0.0001386707,0.0001181519,0.000246197,0.0001391379],"domain_scores_gemma":[0.9991711,0.0003492778,0.0001282572,0.00006580691,0.0001760819,0.0001094452],"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":[0.001858497,0.0006571513,0.001227931,0.0002108216,0.00006066197,0.00005578644,0.0001045856,0.0003288873,0.9901989,0.0000543382,0.0001917718,0.005050714],"study_design_scores_gemma":[0.0002904805,0.01574833,0.02235024,0.00003574319,0.0001206422,0.000430822,0.0001522175,0.00205999,0.9573836,0.00006023613,0.00133507,0.00003252894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887516,0.003372149,0.002421607,0.0001790852,0.00009518927,0.0002088592,0.001588261,0.00008927668,0.003293924],"genre_scores_gemma":[0.9892337,0.001391753,0.005499234,0.00005436021,0.00004022032,0.0001352302,0.001563146,0.00001932363,0.00206296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002589897,"threshold_uncertainty_score":0.008664131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009526363827786486,"score_gpt":0.257867437703265,"score_spread":0.2483410738754785,"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."}}