{"id":"W2988419999","doi":"10.21055/0370-1069-2013-1-25-29","title":"Peculiarities of Epidemiological Situation on the West Nile Fever in 2012 in the Territory of the Russian Federation","year":2013,"lang":"en","type":"article","venue":"Problems of Particularly Dangerous Infections","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Centre for Disease Prevention and Control; Public Health Agency; Public Health Agency of Canada","keywords":"Russian federation; West Nile virus; Epidemiology; Population; Geography; Incidence (geometry); Virology; Socioeconomics; Environmental health; Medicine; Virus; Pathology","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":[0.0005714919,0.000144179,0.0002887713,0.001032187,0.0006835623,0.0005520689,0.0002111605,0.0002534933,0.0007932796],"category_scores_gemma":[0.0009596915,0.0001951755,0.0002510228,0.0009611451,0.0004913515,0.0003665838,0.0005151795,0.0002306026,0.0001141193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166547,"about_ca_system_score_gemma":0.0008601271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02768386,"about_ca_topic_score_gemma":0.03312468,"domain_scores_codex":[0.9995765,0.0001327037,0.00005578771,0.00007571789,0.00005234437,0.000107008],"domain_scores_gemma":[0.9994924,0.00006654739,0.0002120155,0.00003635871,0.00008608629,0.0001066134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004373378,0.00002437831,0.9956987,0.00001946279,0.00002439266,0.0003480054,0.00138762,0.00007018948,0.0004722422,0.00007981541,0.0001257997,0.001705683],"study_design_scores_gemma":[5.809671e-7,0.00002263275,0.9981596,0.000007635907,0.000005532791,0.0002724048,0.001158168,0.00004549951,0.00002788213,0.0000087915,0.0002881851,0.000003052376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989593,0.0002120714,0.00003811292,0.00006240086,0.000004170607,0.000004724271,0.0001264194,0.000001415212,0.0005913635],"genre_scores_gemma":[0.9995632,0.0001544944,0.00002595862,0.000007694692,0.000005659346,0.000003170763,0.0001650533,5.17261e-7,0.00007433549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02768386,"threshold_uncertainty_score":0.05504543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1590751977795621,"score_gpt":0.3563891086703094,"score_spread":0.1973139108907474,"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."}}