{"id":"W2789487757","doi":"10.1159/000486445","title":"Humanized Exposures of a β-Lactam-β-Lactamase Inhibitor, Tazobactam, versus Non-β-Lactam-β-Lactamase Inhibitor, Avibactam, with or without Colistin, against <b><i>Acinetobacter baumannii</i></b> in Murine Thigh and Lung Infection Models","year":2018,"lang":"en","type":"article","venue":"Pharmacology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Colistin; Acinetobacter baumannii; Avibactam; Tazobactam; Microbiology; Beta-Lactamase Inhibitors; Antibiotics; Pharmacology; Carbapenem; Medicine; Chemistry; Biology; Antibiotic resistance; Pseudomonas aeruginosa; Enterobacteriaceae; Bacteria; Biochemistry; Escherichia coli; Imipenem","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":[0.0002404981,0.0004856474,0.0004147666,0.0001612626,0.00008011924,0.0003079059,0.0002974118,0.0004507719,0.002181743],"category_scores_gemma":[0.0002290158,0.00021024,0.0003450477,0.0002543802,0.0002690376,0.0002170199,0.0001436292,0.0007523496,0.0002222345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043393,"about_ca_system_score_gemma":0.0003284039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140784,"about_ca_topic_score_gemma":0.001223551,"domain_scores_codex":[0.9997123,0.00006645104,0.00002856552,0.00007314134,0.00005217434,0.00006728784],"domain_scores_gemma":[0.9998453,0.00005022323,0.0000370087,0.0000167588,0.00001604233,0.00003466955],"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":[0.004823015,0.0009115305,0.0003404858,0.00009845355,0.00002657806,0.0001318924,0.00005235185,0.0004441348,0.9890859,0.00008071789,0.0003648952,0.003640054],"study_design_scores_gemma":[0.0002876786,0.0347032,0.005354389,0.00001581235,0.0001110819,0.0005098298,0.00008133794,0.002364809,0.9541984,0.00007410814,0.002277037,0.00002226652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956027,0.001660781,0.0009002298,0.000102354,0.0001167914,0.00008283097,0.0007072127,0.0000359818,0.0007910355],"genre_scores_gemma":[0.9934435,0.0013926,0.001711076,0.00007319668,0.0000495876,0.0001026117,0.0008793559,0.000008057368,0.002339866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002181743,"threshold_uncertainty_score":0.007298648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521887661487411,"score_gpt":0.2807662370926416,"score_spread":0.2655473604777675,"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."}}