{"id":"W3093919792","doi":"10.1038/s41467-020-19185-y","title":"The seventh pandemic of cholera in Europe revisited by microbial genomics","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Agence Nationale de la Recherche; Fondation Le Roch-Les Mousquetaires; Infrastructures en Biologie Santé et Agronomie","keywords":"Cholera; Outbreak; Pandemic; Geography; Vibrio cholerae; El Tor; Middle East; Coronavirus disease 2019 (COVID-19); Socioeconomics; Infectious disease (medical specialty); Biology; Disease; Virology; Medicine; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001537297,0.00006690052,0.00008979884,0.00001203932,0.0001148647,0.00001522013,0.0008993041,0.0001050515,0.0000017679],"category_scores_gemma":[0.0005533468,0.00005306329,0.00003197712,0.0002174336,0.0001464925,0.000002083694,0.0007088004,0.0003982434,0.000003307056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001260394,"about_ca_system_score_gemma":0.00006121746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005317667,"about_ca_topic_score_gemma":0.00007714963,"domain_scores_codex":[0.9993916,0.0001501821,0.0001654591,0.0001215683,0.00005580356,0.0001154323],"domain_scores_gemma":[0.9989733,0.00004877435,0.00006514612,0.0007394189,0.0001407949,0.00003254025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003640135,0.00002536346,0.002589131,0.000005732556,0.00003174008,1.010888e-7,0.0001316605,0.000001793918,0.9735411,0.00007949099,0.02298708,0.0005704433],"study_design_scores_gemma":[0.0002924229,0.00004477588,0.006595636,0.000008408454,0.000005785142,0.000001026995,0.0000355695,0.00004302825,0.0312864,0.000003385263,0.9616148,0.00006874445],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015273,0.06191145,0.00005756347,0.03395486,0.00005659386,0.0005217504,0.0002943941,0.00001858941,0.00165745],"genre_scores_gemma":[0.978062,0.02031821,0.0003973334,0.0007860323,0.00003826182,0.0000112648,0.0003017631,0.00001069368,0.00007448993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9422547,"threshold_uncertainty_score":0.2163858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949241847130342,"score_gpt":0.3026090014577334,"score_spread":0.28311658298643,"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."}}