{"id":"W6945343899","doi":"10.22004/ag.econ.360646","title":"Economic Consequences of African Swine Fever: Strengthening U.S. Preparedness and Resilience","year":2025,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Computable general equilibrium; Preparedness; Welfare; Resilience (materials science); Psychological resilience; Economic impact analysis; Animal welfare; Market access","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00100751,0.0004424553,0.0001993467,0.0005037332,0.0008490353,0.00167173,0.0004341984,0.0009715345,0.004160215],"category_scores_gemma":[0.002196274,0.0001216246,0.0004322603,0.0004739377,0.0007935423,0.00159108,0.002045997,0.0006525052,0.0001787994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002168718,"about_ca_system_score_gemma":0.002614288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082187,"about_ca_topic_score_gemma":0.02053662,"domain_scores_codex":[0.9995517,0.0002329019,0.00001047252,0.00003647256,0.00003748969,0.0001309038],"domain_scores_gemma":[0.9995304,0.000115399,0.0001172735,0.00003729867,0.00008716727,0.0001123995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000478413,0.0004543042,0.1574463,0.0002601327,0.0004252051,0.001940711,0.001008258,0.5834737,0.005427575,0.1028215,0.02378578,0.122478],"study_design_scores_gemma":[0.0001282561,0.0009600613,0.1228979,0.0006258547,0.0002637065,0.0004785611,0.01020715,0.6177885,0.002644912,0.1743637,0.06952693,0.0001145031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9021409,0.001280226,0.01281271,0.02652073,0.0002508405,0.00008965016,0.0008092983,0.0001413065,0.0559544],"genre_scores_gemma":[0.9969032,0.0004494562,0.001303629,0.0004163416,0.00001413486,0.00001420835,0.0000828376,0.000006964082,0.0008090636],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02082187,"threshold_uncertainty_score":0.04140133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764715002087352,"score_gpt":0.248052270475678,"score_spread":0.2304051204548045,"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."}}