{"id":"W4224255111","doi":"10.3201/eid2805.212535","title":"Genomic Epidemiology of Global Carbapenemase-Producing <i>Escherichia coli,</i> 2015–2017","year":2022,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Calgary","funders":"Canadian Institutes of Health Research; National Institutes of Health; Joint Programming Initiative on Antimicrobial Resistance; AstraZeneca","keywords":"Subclade; Klebsiella pneumoniae; Escherichia coli; Molecular epidemiology; Biology; Plasmid; Microbiology; Epidemiology; Klebsiella infections; New delhi; Population; Multilocus sequence typing; Genetics; Medicine; Genotype; Phylogenetics; Gene; Environmental health; Clade; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003163426,0.0002000953,0.0003318878,0.00003107193,0.0002839218,0.000006424842,0.0002859278,0.00006244218,0.0001394961],"category_scores_gemma":[0.0004359699,0.0002238495,0.0001863124,0.0001718083,0.0001502156,0.000004949989,0.0003726753,0.0001013257,0.000007879631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093452,"about_ca_system_score_gemma":0.0002094497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002486566,"about_ca_topic_score_gemma":0.00005355625,"domain_scores_codex":[0.9982592,0.0003327822,0.0003961441,0.0005236177,0.0001248051,0.0003634528],"domain_scores_gemma":[0.9988763,0.00004039033,0.0003151223,0.0005948346,0.00006417201,0.0001091862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001005692,0.0001323588,0.9147232,0.00004513876,0.0001136797,0.000006148776,0.00001930297,0.003136379,0.07187743,0.0002305486,0.009471049,0.0001441744],"study_design_scores_gemma":[0.0006406743,0.0003840018,0.9794219,0.00001545121,0.0001163161,0.00003969753,0.0001203248,0.00008557095,0.001767379,0.00049916,0.01651784,0.0003917399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930171,0.004227042,0.0003853361,0.0001276611,0.0008494231,0.0002045417,0.0002257367,0.00004666152,0.0009165449],"genre_scores_gemma":[0.9985512,0.0001375471,0.0002003509,0.0004226422,0.0002823353,0.00003381625,0.0001672634,0.00002810588,0.0001767019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07011005,"threshold_uncertainty_score":0.9128317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112744290491503,"score_gpt":0.2794804180372276,"score_spread":0.2682059889880772,"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."}}