{"id":"W2978022780","doi":"10.29326/2304-196x-2019-3-30-39-44","title":"FMD EPIDEMIC PROCESS CHARACTERISTICS IN RUSSIA IN 2010 – FIRST QUARTER OF 2019","year":2019,"lang":"en","type":"article","venue":"Veterinary Science Today","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Russian federation; Geography; Foot-and-mouth disease; China; Quarter (Canadian coin); Livestock; Socioeconomics; Human settlement; Demography; Veterinary medicine; Environmental health; Medicine; Virology; Forestry; Archaeology","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":[0.001026126,0.0001264673,0.0002899767,0.00009921144,0.00005736425,0.00001869166,0.0005589211,0.00006580972,0.0006807066],"category_scores_gemma":[0.000105864,0.00005553896,0.00004691774,0.0009906053,0.0002202569,0.0003874536,0.0001404005,0.0001136097,0.0001935214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003148551,"about_ca_system_score_gemma":0.00002166861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003218706,"about_ca_topic_score_gemma":0.000110135,"domain_scores_codex":[0.9985202,0.00006898889,0.0003862354,0.0004078336,0.0001827168,0.0004340049],"domain_scores_gemma":[0.999514,0.0001470497,0.0001414555,0.00009212913,0.00002824469,0.0000771211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001129856,0.0001153624,0.9094023,0.00003956526,0.000001269493,0.00001483218,0.0001447979,0.00001706984,0.08634179,0.0004587095,0.0002577807,0.003093539],"study_design_scores_gemma":[0.0001090551,0.0007616,0.9953952,0.00006114212,0.000001456817,0.000002950834,0.0001713086,0.00138665,0.00003417005,0.0003208471,0.001618195,0.0001373854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962652,0.00004065406,9.59745e-7,0.001244869,0.0002321806,0.0002541987,0.00001222273,0.00001627296,0.001933433],"genre_scores_gemma":[0.9993254,0.0000394026,0.00002707287,0.0002061885,0.00003439298,0.00001032098,0.00001375713,7.314266e-7,0.0003427119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08630762,"threshold_uncertainty_score":0.745326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459953460216553,"score_gpt":0.2644019710492983,"score_spread":0.2398024364471328,"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."}}