{"id":"W2060918654","doi":"10.1016/j.epidem.2014.09.008","title":"Impacts of constrained culling and vaccination on control of foot and mouth disease in near-endemic settings: A pair approximation model","year":2014,"lang":"en","type":"article","venue":"Epidemics","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Culling; Vaccination; Outbreak; Foot-and-mouth disease; Population; Disease; Environmental health; Medicine; Vaccine efficacy; Immunology; Veterinary medicine; Virology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009883337,0.00009085673,0.0002427538,0.00001908752,0.00004105928,0.000007198053,0.00005406803,0.00005914612,0.00000529995],"category_scores_gemma":[0.001528865,0.00004313921,0.00003656424,0.00008042323,0.00005936771,0.00007333713,0.00002619653,0.00006622099,3.467429e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001100136,"about_ca_system_score_gemma":0.000005626879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006530173,"about_ca_topic_score_gemma":0.00003283453,"domain_scores_codex":[0.9991302,0.000159113,0.0003132708,0.000181575,0.00007094511,0.0001449124],"domain_scores_gemma":[0.9988347,0.0008077801,0.0002102804,0.00003304146,0.00003036973,0.00008381653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004007731,0.00007620412,0.9464337,0.0001740533,0.00001641453,4.169146e-7,0.0002004603,0.006561152,0.01192035,0.0164945,0.0001318071,0.0175902],"study_design_scores_gemma":[0.000281357,0.00007878082,0.3886451,0.00003833967,0.00001544854,1.045719e-7,0.00006410672,0.6037013,0.00002193041,0.007086364,0.00001279231,0.00005440794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964306,0.0001107827,0.001160225,0.001947756,0.000008324473,0.0002096564,0.00003195748,0.00001447057,0.00008621204],"genre_scores_gemma":[0.9991006,0.0000486356,0.0003269946,0.0004621401,0.00002311356,0.000006162633,0.00002793437,8.387713e-7,0.000003585797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5971401,"threshold_uncertainty_score":0.1830305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209817935103921,"score_gpt":0.2416875723321384,"score_spread":0.2195893929810991,"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."}}