{"id":"W7097193503","doi":"","title":"BORDER CLOSURE: EFFECTS ON THE ONTARIO FEED INDUSTRY","year":2015,"lang":"en","type":"article","venue":"","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contingency plan; Government (linguistics); Closure (psychology); Work (physics); General partnership; Stakeholder; Plan (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056323,0.0002751448,0.0002041556,0.001038279,0.005444421,0.002478675,0.001003738,0.001050723,0.007579113],"category_scores_gemma":[0.003101376,0.0001854958,0.0005364282,0.00156588,0.001654274,0.001005827,0.001868604,0.000715272,0.0005111134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04775527,"about_ca_system_score_gemma":0.03743926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9692336,"about_ca_topic_score_gemma":0.9885101,"domain_scores_codex":[0.998427,0.0001657643,0.00003588175,0.00009135913,0.0005774064,0.0007027025],"domain_scores_gemma":[0.9969069,0.0002139514,0.0005540862,0.0001104258,0.001183255,0.001031316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001627902,0.0006021225,0.7749515,0.0005088023,0.0001345057,0.007231478,0.02935465,0.003091101,0.007912268,0.01038561,0.06292468,0.1012755],"study_design_scores_gemma":[0.00004213025,0.0003140102,0.8721197,0.0002010269,0.00004915596,0.0003989929,0.05242125,0.001042304,0.0006904704,0.0009126412,0.07175808,0.00005040639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130985,0.001314788,0.0005096624,0.01316959,0.0001118899,0.0001078407,0.00138873,0.00009376187,0.07020523],"genre_scores_gemma":[0.9750561,0.001548192,0.0003794969,0.001226632,0.00002532243,0.00003180249,0.0006273262,0.00002060988,0.02108455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04775527,"threshold_uncertainty_score":0.3464904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06111709094259639,"score_gpt":0.2587073489958325,"score_spread":0.1975902580532362,"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."}}