{"id":"W2987425231","doi":"10.1016/j.ijantimicag.2019.10.022","title":"In-vitro activity of imipenem/relebactam and key β-lactam agents against Gram-negative bacilli isolated from lower respiratory tract infection samples of intensive care unit patients – SMART Surveillance United States 2015–2017","year":2019,"lang":"en","type":"article","venue":"International Journal of Antimicrobial Agents","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Merck","keywords":"Imipenem; Cefepime; Medicine; Piperacillin; Microbiology; Respiratory tract infections; Ceftazidime; Cilastatin; Pseudomonas aeruginosa; Tazobactam; Broth microdilution; Internal medicine; Antimicrobial; Antibiotics; Minimum inhibitory concentration; Biology; Antibiotic resistance; Respiratory system; Bacteria","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":[0.0005255102,0.0004842685,0.0003876093,0.0004733401,0.0001535024,0.0004052907,0.0002734356,0.0003013705,0.001271637],"category_scores_gemma":[0.0007511131,0.0002609763,0.0005863634,0.0005192474,0.000190035,0.0002484041,0.0003098064,0.0004492917,0.000496951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690119,"about_ca_system_score_gemma":0.0002283475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002043955,"about_ca_topic_score_gemma":0.003037143,"domain_scores_codex":[0.999181,0.0002436205,0.0001555903,0.0001156056,0.0002137073,0.00009049731],"domain_scores_gemma":[0.9994743,0.0001219241,0.0001269816,0.00004006685,0.0001688728,0.00006787605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002976103,0.0008068109,0.1119876,0.0004502942,0.0003401349,0.0002423517,0.0002965886,0.0008030816,0.8636228,0.00005781837,0.0006969849,0.01771939],"study_design_scores_gemma":[0.0000663298,0.007927993,0.335419,0.00007034517,0.0004557492,0.001043904,0.0004303206,0.001453647,0.6493581,0.00002921567,0.003715804,0.00002951079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922807,0.003948623,0.0002822778,0.00009320831,0.00005366159,0.000029904,0.002070009,0.00001283583,0.001228821],"genre_scores_gemma":[0.9928098,0.001170096,0.0009454853,0.00008408543,0.00002434864,0.00001734311,0.004064047,0.000006313219,0.0008785804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002043955,"threshold_uncertainty_score":0.004254043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459687984460549,"score_gpt":0.272832681643806,"score_spread":0.2582358017992005,"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."}}