{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000591778,0.00009644358,0.0002334933,0.0001651709,0.00006134294,0.000008376366,0.00006882888,0.00007880555,0.00001334478],"category_scores_gemma":[0.0001086873,0.00005543195,0.00006559107,0.0003848025,0.0001023513,0.0001282215,0.00003699592,0.0002023599,0.000001963545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008417304,"about_ca_system_score_gemma":0.0001102128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00240998,"about_ca_topic_score_gemma":0.01377754,"domain_scores_codex":[0.9988531,0.0001699969,0.0005407176,0.0001244569,0.0001885672,0.0001231544],"domain_scores_gemma":[0.9993525,0.0001054685,0.0002389585,0.0002312315,0.00005729598,0.00001457871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001794412,0.000658478,0.9693949,0.0003024489,0.0000280955,2.315153e-7,0.005416087,0.00299957,0.01933539,0.00126037,0.00009781744,0.0004886851],"study_design_scores_gemma":[0.0007270642,0.0002426351,0.9807449,0.0007974308,0.00002506406,0.00001072101,0.0003219164,0.0006423763,0.0159973,0.000176483,0.0002520263,0.00006208388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975122,0.0001493571,0.00006655225,0.0005406858,0.0001487319,0.001042101,0.000006777472,0.000004127272,0.0005294271],"genre_scores_gemma":[0.9996792,0.00003675216,0.00005197451,0.00003137789,0.00001319249,0.00008984256,0.000004949115,0.000007252805,0.00008546822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01136756,"threshold_uncertainty_score":0.768819,"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."}}