{"id":"W2766739944","doi":"10.1038/s41598-017-15152-8","title":"Genomic and epidemiological characterisation of a dengue virus outbreak among blood donors in Brazil","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"U.S. National Library of Medicine; National Institutes of Health; National Institute of Child Health and Human Development; Eidgenössische Technische Hochschule Zürich; Fundação de Amparo à Pesquisa do Estado de São Paulo; European Commission","keywords":"Outbreak; Dengue fever; Chikungunya; Virology; Genotype; Epidemiology; Transmission (telecommunications); Biology; Serotype; Dengue virus; Phylogenetic tree; Arbovirus; Aedes; Virus; Molecular epidemiology; Demography; Geography; Medicine; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003750818,0.0001510699,0.000227157,0.0005797755,0.0002630642,0.0004602278,0.00019608,0.0002189467,0.0004218784],"category_scores_gemma":[0.001410412,0.0001659225,0.0002178346,0.0006282182,0.0003447695,0.0001158211,0.0003591983,0.000236148,0.00008743335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005714083,"about_ca_system_score_gemma":0.0004985347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993501,"about_ca_topic_score_gemma":0.02212119,"domain_scores_codex":[0.9997315,0.00007703863,0.00002342831,0.00006012359,0.00005489497,0.0000528795],"domain_scores_gemma":[0.9994305,0.0001148288,0.0002339887,0.00005284982,0.00009250141,0.00007531918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001451428,0.00004557506,0.9616073,0.00005569475,0.00003580525,0.0005851728,0.002394704,0.0001384286,0.02726411,0.0001358062,0.0001147841,0.0074775],"study_design_scores_gemma":[0.000006974746,0.00009096372,0.995471,0.00002193917,0.00002104543,0.0008677783,0.001442491,0.0002505806,0.0009488465,0.00005963186,0.000811632,0.000007095658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992458,0.0001095564,0.0001138143,0.00003406083,0.000001272905,0.0000126932,0.0001867825,0.000002462122,0.0002936792],"genre_scores_gemma":[0.9991548,0.0001371838,0.0003431806,0.00002209327,0.00000162915,0.000009159139,0.0002640865,0.000001521042,0.00006638904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01993501,"threshold_uncertainty_score":0.03963798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758185530029311,"score_gpt":0.2901127195588856,"score_spread":0.2725308642585925,"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."}}