{"id":"W3168437620","doi":"10.1101/2021.05.05.442690","title":"Population analysis of <i>Vibrio cholerae</i> in aquatic reservoirs reveals a novel sister species <i>(Vibrio paracholerae</i> sp. nov.) with a history of association with human infections","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Centers for Disease Control and Prevention; Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Vibrio cholerae; Cholera; Biology; Lineage (genetic); Pandemic; Population; Vibrio; Phylogenetics; Zoology; Ecology; Microbiology; Genetics; Coronavirus disease 2019 (COVID-19); Bacteria; Infectious disease (medical specialty); Demography; Gene","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":[0.0002976725,0.0001403561,0.0002103411,0.0007607855,0.0004874211,0.0005130923,0.0002326028,0.0002627609,0.000629527],"category_scores_gemma":[0.0004105791,0.0001186391,0.0002998298,0.0006429933,0.0002736956,0.0001539538,0.0003491907,0.0003753683,0.000168865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003463757,"about_ca_system_score_gemma":0.0002620979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006729412,"about_ca_topic_score_gemma":0.006230683,"domain_scores_codex":[0.9997677,0.00002897124,0.00001573259,0.0000997872,0.0000415012,0.00004629573],"domain_scores_gemma":[0.9997357,0.00004512702,0.00006461269,0.00002394144,0.00007367833,0.00005704388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004333207,0.000159227,0.5981187,0.00005961743,0.00008540178,0.0003558195,0.001490073,0.0004469841,0.3854612,0.0002292803,0.0001803592,0.01298007],"study_design_scores_gemma":[0.000007532809,0.0003535771,0.9919315,0.00000767632,0.00002523961,0.0005660463,0.001211872,0.0008102368,0.004384866,0.00006918697,0.0006206966,0.00001154814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992661,0.00004773461,0.0002712059,0.000009429715,0.000002420068,0.000008680253,0.0001207636,0.00000293267,0.0002709255],"genre_scores_gemma":[0.9984812,0.00005786673,0.0005937248,0.00001718154,0.000003038669,0.00000783038,0.0006483981,0.000002991801,0.0001877421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006729412,"threshold_uncertainty_score":0.01338053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777352066680741,"score_gpt":0.2369219756207299,"score_spread":0.2191484549539225,"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."}}