{"id":"W2973101100","doi":"10.1101/761924","title":"Preterm infants harbour diverse <i>Klebsiella</i> populations, including atypical species that encode and produce an array of antimicrobial resistance- and virulence-associated factors","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Imperial Biomedical Research Centre; Biotechnology and Biological Sciences Research Council; Medical Research Council; University of Westminster; National Institute for Health and Care Research; Trent University; Norfolk and Norwich University Hospitals NHS Foundation Trust; Wellcome Trust; Nottingham Trent University","keywords":"Klebsiella oxytoca; Biology; Klebsiella; Klebsiella pneumoniae; Microbiology; Resistome; Fosfomycin; Enterobacteriaceae; Antibiotic resistance; Antimicrobial; Escherichia coli; Antibiotics; Genetics; Gene","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":[0.0002450817,0.0003311024,0.0004316558,0.0006117157,0.0003050908,0.0006502539,0.0002140571,0.0003193719,0.001637308],"category_scores_gemma":[0.0009990466,0.0001807399,0.0003146995,0.0006417179,0.0002636387,0.0002771111,0.0005123121,0.0002492292,0.0005378397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002393548,"about_ca_system_score_gemma":0.0002387276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004509604,"about_ca_topic_score_gemma":0.003383328,"domain_scores_codex":[0.9994172,0.00005932083,0.000103734,0.0001702965,0.0001362919,0.0001131605],"domain_scores_gemma":[0.9994214,0.0000866208,0.0002309659,0.00005512053,0.0001121724,0.00009372089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001124975,0.00008678358,0.5058071,0.0004670735,0.000155181,0.002113825,0.001366066,0.0002187629,0.4706102,0.0001708762,0.0005534498,0.01732565],"study_design_scores_gemma":[0.000006967919,0.0003895015,0.9650728,0.00005881035,0.00007628748,0.005488555,0.0007544996,0.0001567155,0.02569314,0.00008290426,0.002203543,0.00001618542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965063,0.000734277,0.0003724152,0.00005700584,0.000005962779,0.00001938102,0.001394056,0.0000173184,0.0008933062],"genre_scores_gemma":[0.9967153,0.0004516403,0.0005861389,0.00006017835,0.000007150102,0.00001491251,0.001687463,0.00001133617,0.0004659101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004509604,"threshold_uncertainty_score":0.008966684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913571710822174,"score_gpt":0.2446615144250961,"score_spread":0.2155257973168744,"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."}}