{"id":"W2935587314","doi":"10.21055/0370-1069-2019-1-17-25","title":"Peculiarities of the Epidemic Situation on West Nile Fever in the Territory of the Russian Federation in 2018 and Forecast of its Development in 2019","year":2019,"lang":"en","type":"article","venue":"Problems of Particularly Dangerous Infections","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"West Nile virus; Russian federation; Incidence (geometry); Geography; Demography; Socioeconomics; Virology; Medicine; Virus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004748185,0.0001918141,0.0002335165,0.0006399665,0.0006322586,0.0005534389,0.000222627,0.0002943276,0.000893914],"category_scores_gemma":[0.0005961498,0.000130203,0.0002670244,0.0005661114,0.0003149276,0.0004277574,0.0004422699,0.0003795096,0.0001459259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008295323,"about_ca_system_score_gemma":0.00132752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0356032,"about_ca_topic_score_gemma":0.03335628,"domain_scores_codex":[0.9997287,0.00004194914,0.00003576689,0.00003961466,0.00004531689,0.0001086292],"domain_scores_gemma":[0.9996464,0.00002214928,0.0001345689,0.00001634645,0.00009498739,0.0000855963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001020344,0.00003940445,0.9807298,0.00006314012,0.00004577038,0.001470048,0.001595556,0.0008348966,0.001743047,0.0005036327,0.001525786,0.01134706],"study_design_scores_gemma":[0.000001435785,0.00002938418,0.9950045,0.0000197785,0.00001415847,0.0005886012,0.001363059,0.0005354204,0.0001410921,0.0000995569,0.002191891,0.00001109703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957188,0.0004583856,0.0002186082,0.000545051,0.00002892802,0.0000122134,0.0005664364,0.0000101005,0.002441396],"genre_scores_gemma":[0.9986144,0.0003369435,0.0001158002,0.00003045064,0.00002036818,0.00000573378,0.0005427857,0.000001891557,0.0003316834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0356032,"threshold_uncertainty_score":0.0707919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108592170322878,"score_gpt":0.2525260036763907,"score_spread":0.2314400819731619,"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."}}