{"id":"W2100797769","doi":"10.1017/s0950268814001927","title":"Evaluating vaccination strategies to control foot-and-mouth disease: a model comparison study","year":2014,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Animal and Plant Health Agency; Canadian Food Inspection Agency; U.S. Department of Agriculture","keywords":"Vaccination; Foot-and-mouth disease; Outbreak; Medicine; Control (management); Environmental health; Operations research; Computer science; Engineering; Immunology; Virology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007744566,0.001566161,0.00165029,0.001445706,0.0004883359,0.001247341,0.001652133,0.001619813,0.001830577],"category_scores_gemma":[0.0124487,0.0005023868,0.002354661,0.001039151,0.0004176131,0.001254039,0.0008958499,0.001312721,0.0001415787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003326854,"about_ca_system_score_gemma":0.001790595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956022,"about_ca_topic_score_gemma":0.00895928,"domain_scores_codex":[0.9963968,0.002813722,0.0001421046,0.0001882742,0.0001814896,0.0002776093],"domain_scores_gemma":[0.98183,0.01588219,0.0007019529,0.0003489431,0.0009906564,0.00024634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008764387,0.0007463107,0.004994607,0.000176587,0.0002881542,0.0000409916,0.00003927751,0.9864861,0.0005956023,0.001038593,0.0002041389,0.004513077],"study_design_scores_gemma":[0.0004526346,0.00396899,0.003355879,0.00004263293,0.0002848335,0.00002542162,0.0001201138,0.9890473,0.001165935,0.00101111,0.0004851428,0.00004006223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811217,0.0008196791,0.01142438,0.0003308241,0.00005911772,0.0005201269,0.0008391516,0.00007049198,0.004814557],"genre_scores_gemma":[0.9895979,0.0004592536,0.008276687,0.00005526335,0.00001537699,0.0004766469,0.0004429771,0.00001580716,0.0006600099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01956022,"threshold_uncertainty_score":0.04095769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173170833133425,"score_gpt":0.3870645853544979,"score_spread":0.2697475020411554,"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."}}