{"id":"W2898631065","doi":"10.1128/aac.01923-18","title":"Applying Rapid Whole-Genome Sequencing To Predict Phenotypic Antimicrobial Susceptibility Testing Results among Carbapenem-Resistant Klebsiella pneumoniae Clinical Isolates","year":2018,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Klebsiella pneumoniae; Carbapenem; Biology; Microbiology; Whole genome sequencing; Klebsiella; Antimicrobial; DNA sequencing; Genome; Genetics; Gene; Antibiotics; Escherichia coli","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":[0.001063732,0.0005812647,0.0004040735,0.0008830799,0.0001577812,0.0008295833,0.0003095631,0.0006189222,0.0004253304],"category_scores_gemma":[0.004559166,0.0002083184,0.0002739235,0.0004720629,0.0001976208,0.0004202916,0.0003502392,0.0003889667,0.0003473909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308241,"about_ca_system_score_gemma":0.0004223846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001968507,"about_ca_topic_score_gemma":0.00467043,"domain_scores_codex":[0.9989527,0.0003131565,0.0001121282,0.000256963,0.0002816051,0.00008325732],"domain_scores_gemma":[0.9973235,0.00155033,0.0004808043,0.0001640636,0.0004031639,0.00007820618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006149507,0.0004049878,0.5586488,0.0003766148,0.0003002921,0.0004011856,0.0002660953,0.01239616,0.3294554,0.0002839174,0.000664672,0.09618685],"study_design_scores_gemma":[0.00004788685,0.001684506,0.5532562,0.0002048476,0.0004050513,0.002834435,0.0008128588,0.152932,0.2814471,0.001252796,0.005028231,0.00009396431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797462,0.001075174,0.01648281,0.0002475891,0.00003657111,0.00006745676,0.001337351,0.0002295877,0.0007772357],"genre_scores_gemma":[0.9762949,0.0005125527,0.02138983,0.000137867,0.00001895225,0.00002354405,0.001218675,0.00002458241,0.0003790543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001968507,"threshold_uncertainty_score":0.005625606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460556648053452,"score_gpt":0.2775588961353581,"score_spread":0.2529533296548236,"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."}}