{"id":"W3191427002","doi":"10.3389/fvets.2021.723081","title":"African Swine Fever in the Russian Far East (2019–2020): Spatio-Temporal Analysis and Implications for Wild Ungulates","year":2021,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Wild boar; Outbreak; African swine fever virus; African swine fever; Domestic pig; Geography; Genotype; Population; Biology; China; Livestock; Virus; Veterinary medicine; Virology; Demography; Ecology; Medicine","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":[0.0005597877,0.000189175,0.0002141479,0.0009357397,0.0002725236,0.0004988656,0.0001942311,0.0002469111,0.0008360915],"category_scores_gemma":[0.0006778997,0.0001038233,0.0005043016,0.0008771335,0.0002134636,0.0003328203,0.000418107,0.0002229929,0.0001264928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003983528,"about_ca_system_score_gemma":0.0004363203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03406437,"about_ca_topic_score_gemma":0.03417959,"domain_scores_codex":[0.9997489,0.00006372984,0.00002865661,0.00007004215,0.00003673484,0.00005201339],"domain_scores_gemma":[0.9995648,0.00007147178,0.0002007002,0.00002949648,0.00008020169,0.00005333971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005497502,0.00002491729,0.990101,0.00005992336,0.0001055528,0.0003283455,0.0003318683,0.0008654168,0.0007938721,0.0002035331,0.0004124743,0.006718107],"study_design_scores_gemma":[0.000001164696,0.00003144072,0.9941228,0.00003384313,0.00004477572,0.000227594,0.001087021,0.003405507,0.00008140656,0.00006851381,0.000891305,0.000004573518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961383,0.001055763,0.0005421301,0.0002695967,0.000019249,0.00001319659,0.001216699,0.000009367347,0.0007357299],"genre_scores_gemma":[0.9981849,0.0004158984,0.0003317024,0.00002451972,0.00001955895,0.000008399672,0.0008929726,0.000002018083,0.0001200128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03406437,"threshold_uncertainty_score":0.06773221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02812388158626737,"score_gpt":0.263713833746289,"score_spread":0.2355899521600216,"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."}}