{"id":"W3195733379","doi":"10.1099/mgen.0.000613","title":"Genomic insights into the diversity, virulence and resistance of Klebsiella pneumoniae extensively drug resistant clinical isolates","year":2021,"lang":"en","type":"article","venue":"Microbial Genomics","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Simon Fraser University; Killam Trusts; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Michael Smith Health Research BC; Canadian Institutes of Health Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Apoio à Pesquisa do Distrito Federal; Wellcome Trust","keywords":"Klebsiella pneumoniae; Biology; Drug resistance; Virulence; Microbiology; Multiple drug resistance; Gene; Genome; Efflux; Antibiotic resistance; Antibiotics; Whole genome sequencing; Clade; Genetics; Escherichia coli; Phylogenetics","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":[0.0001604638,0.0003029671,0.0002876982,0.001437103,0.000234262,0.0005155044,0.0001316313,0.0003045485,0.0006759946],"category_scores_gemma":[0.0007485278,0.0001507835,0.0003687241,0.001472565,0.0002122287,0.0002483028,0.0003139563,0.0003048812,0.0002953736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002916074,"about_ca_system_score_gemma":0.0004097979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004936709,"about_ca_topic_score_gemma":0.007103248,"domain_scores_codex":[0.9997804,0.00002614717,0.00002148704,0.00007892336,0.00004822579,0.0000448271],"domain_scores_gemma":[0.9996905,0.00006987421,0.0001044894,0.00002581377,0.00006400886,0.00004528367],"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":[0.0003503934,0.00006490892,0.141705,0.0003955876,0.00009024508,0.0008641888,0.001272993,0.0005672915,0.8288736,0.0003503471,0.0003718787,0.02509358],"study_design_scores_gemma":[0.00001036503,0.0001627424,0.9648446,0.00009091846,0.0001302338,0.002136213,0.001108295,0.001126351,0.02157515,0.0003319366,0.008459248,0.00002389324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892775,0.002178837,0.001797408,0.0001658498,0.00000973438,0.00002279936,0.005009796,0.00003192992,0.001506138],"genre_scores_gemma":[0.9906895,0.001396216,0.002621743,0.00009980919,0.00001183742,0.00001507964,0.004760037,0.00001735286,0.000388391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004936709,"threshold_uncertainty_score":0.009815931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115880578770676,"score_gpt":0.2397850093098705,"score_spread":0.2286262035221637,"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."}}