{"id":"W2968384741","doi":"10.1016/j.cmi.2019.08.005","title":"Variable performance of different commercial systems for testing carbapenem susceptibility of KPC carbapenemase-producing Escherichia coli","year":2019,"lang":"en","type":"article","venue":"Clinical Microbiology and Infection","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Biotest; bioMérieux; Nordic Pharma Group; Basilea Pharmaceutica; Angelini Pharma; ELITechGroup; AstraZeneca; Thermo Fisher Scientific; Roche; Shionogi; Cardiome Pharma Corp.; Merck; Novartis; Beckman Coulter Foundation; Cepheid; Pfizer","keywords":"Ertapenem; Meropenem; Imipenem; Broth microdilution; Carbapenem; Etest; Microbiology; Doripenem; Biology; Escherichia coli; Antimicrobial; Antibiotics; Minimum inhibitory concentration; Antibiotic resistance; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003000411,0.0007174317,0.0006862692,0.001085383,0.0003760461,0.001694544,0.0008695471,0.001156204,0.0007414218],"category_scores_gemma":[0.007393244,0.0005030135,0.0005499709,0.001407427,0.0006262706,0.0007891592,0.0008948496,0.0007187428,0.0004011956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000858971,"about_ca_system_score_gemma":0.0004684842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200319,"about_ca_topic_score_gemma":0.002350076,"domain_scores_codex":[0.9942021,0.001581341,0.0005550761,0.001215465,0.002011911,0.0004341646],"domain_scores_gemma":[0.9936254,0.002920322,0.0008516258,0.0005970024,0.001680507,0.0003250532],"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":[0.002200257,0.0007689309,0.02229587,0.0002540959,0.0001492049,0.00004430723,0.0002700437,0.0006160474,0.9611442,0.00008738323,0.0002197967,0.01194992],"study_design_scores_gemma":[0.0000687236,0.003031978,0.04140583,0.00002849431,0.000223876,0.0002488547,0.0002574047,0.004425859,0.9494801,0.00006271646,0.0007134443,0.00005272982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969652,0.0005196262,0.001687211,0.00008718893,0.00004351282,0.00003005557,0.0002912049,0.00007230147,0.0003036557],"genre_scores_gemma":[0.992512,0.0003147711,0.005320759,0.00009329077,0.0000271552,0.00005542662,0.001086233,0.0000491855,0.0005411383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003000411,"threshold_uncertainty_score":0.01586789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388980626875826,"score_gpt":0.2852903616455311,"score_spread":0.2614005553767729,"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."}}