{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003008917,0.0002058034,0.0003100839,0.00002539976,0.0003182146,0.00005101493,0.0004423323,0.0001692201,0.000007666538],"category_scores_gemma":[0.0001183377,0.0001809578,0.0001402582,0.00009540439,0.0005808204,0.000006395199,0.001289959,0.0001633877,0.000008089144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003718617,"about_ca_system_score_gemma":0.0002123186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004878133,"about_ca_topic_score_gemma":0.001066321,"domain_scores_codex":[0.9984037,0.0001923887,0.0004963687,0.0005806301,0.00008294584,0.0002439288],"domain_scores_gemma":[0.9987366,0.00007098964,0.0002501653,0.000633099,0.0002309541,0.00007826014],"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":[0.0003030071,0.00004379268,0.009275471,0.00004246614,0.00007925984,0.00001672431,0.000720379,0.000004731466,0.9875286,0.0001935988,0.001604054,0.0001878841],"study_design_scores_gemma":[0.001235974,0.0001666517,0.1402793,0.0001231146,0.000152458,0.00003688691,0.001439493,0.00001491114,0.7070857,0.001385856,0.1473696,0.0007100397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923044,0.006360088,0.0001413609,0.0003927012,0.0003020596,0.0001581501,0.00003135841,0.000007036074,0.0003028821],"genre_scores_gemma":[0.9873284,0.007708234,0.002913992,0.0004228117,0.0001889594,9.063799e-7,0.00003224195,0.00002721905,0.001377276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.280443,"threshold_uncertainty_score":0.7379245,"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."}}