{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002137989,0.0002441085,0.0001069915,0.00115472,0.0001402507,0.0005709061,0.0001453478,0.0001679867,0.001679094],"category_scores_gemma":[0.000522544,0.00009795003,0.0002119593,0.001102689,0.0002613517,0.0002330632,0.000364802,0.000194148,0.0002164124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537677,"about_ca_system_score_gemma":0.0007973003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424677,"about_ca_topic_score_gemma":0.01452936,"domain_scores_codex":[0.9997916,0.0000208624,0.00002898525,0.00006264391,0.00004244184,0.00005351303],"domain_scores_gemma":[0.9995993,0.0000297358,0.0001915649,0.00001513559,0.00008334315,0.00008093039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001783421,0.00002067176,0.9799098,0.0000977493,0.00005821229,0.0001510307,0.0001992219,0.0003625899,0.005977753,0.0003059942,0.001203115,0.01153568],"study_design_scores_gemma":[0.000002845808,0.00005209375,0.9960078,0.00004580689,0.0000221416,0.0003164189,0.000413018,0.0001371639,0.0006757074,0.00004271207,0.002280777,0.000003523709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919763,0.0006695612,0.0002685825,0.0001173482,0.00001735955,0.0000173933,0.005181269,0.00001436242,0.001737891],"genre_scores_gemma":[0.9914348,0.0008465277,0.0002436164,0.00006207855,0.00001345283,0.00001212171,0.006584273,0.000004453283,0.0007986989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01424677,"threshold_uncertainty_score":0.02832764,"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."}}