{"id":"W2919747718","doi":"10.3201/eid2504.180743","title":"Epizootic Hemorrhagic Disease in White-Tailed Deer, Canada","year":2019,"lang":"en","type":"letter","venue":"Emerging infectious diseases","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Canadian Food Inspection Agency","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"White (mutation); Epizootic; Disease; Virology; Medicine; Geography; Biology; Outbreak; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007465063,0.0007891676,0.0007807348,0.0001004117,0.0002504195,0.0001879413,0.0006648463,0.0003190789,0.003405498],"category_scores_gemma":[0.0004691023,0.0004028936,0.0004371024,0.0008316649,0.00008067196,0.0002203627,0.000212796,0.0009544869,0.0002465275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006101831,"about_ca_system_score_gemma":0.0005961052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1824951,"about_ca_topic_score_gemma":0.4852408,"domain_scores_codex":[0.9959149,0.0003157034,0.0005920648,0.001159935,0.0008634707,0.001153979],"domain_scores_gemma":[0.9982834,0.0005539918,0.0003031675,0.0003109743,0.0001410761,0.0004073322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002509088,0.0001063081,0.5438197,0.0001617381,0.00003635879,0.0009082702,0.000004353541,0.0001814045,0.00002280046,0.000003343785,0.454021,0.0007096499],"study_design_scores_gemma":[0.0002631315,0.00009203835,0.6853749,0.0001717558,0.0001984499,0.000005722414,0.00001683187,0.0001523797,0.000001397643,0.0001140061,0.3127117,0.0008976837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8204769,0.004439273,6.873169e-7,0.167801,0.001840938,0.001184117,0.00233949,0.0005396834,0.001377847],"genre_scores_gemma":[0.781752,0.00009160801,0.000001297545,0.2109713,0.002846878,0.0001513372,0.002355912,0.00001733917,0.001812317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3027457,"threshold_uncertainty_score":0.9998423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007656575755161768,"score_gpt":0.1934324517847231,"score_spread":0.1857758760295613,"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."}}