{"id":"W1586001000","doi":"10.1111/j.1540-5982.2009.01565.x","title":"U.S. trade remedy law and agriculture: trade diversion and investigation effects","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trade diversion; Agriculture; International trade; Economics; Trade barrier; International economics; Duty; Technical barriers to trade; Trade creation; Offset (computer science); Gravity model of trade; International free trade agreement; Law; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006082921,0.0002971227,0.0006904706,0.000409991,0.0002663138,0.0002383552,0.0003221107,0.0003317907,0.00006519866],"category_scores_gemma":[0.0001284032,0.0003664374,0.0001438591,0.00009166625,0.0003373461,0.0007478533,0.00002483991,0.0005565475,0.00002041661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004580746,"about_ca_system_score_gemma":0.0002107404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05266832,"about_ca_topic_score_gemma":0.8395743,"domain_scores_codex":[0.99804,0.00002059425,0.0008913045,0.0004539263,0.000001675077,0.0005924847],"domain_scores_gemma":[0.9970131,0.0001022532,0.000693996,0.0002632048,0.00001998509,0.001907464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001487956,0.000007911849,0.02155419,0.00005530806,0.00008822875,0.00004222424,0.001057392,0.0000862005,0.0001650916,0.9756244,0.0006778226,0.0006263838],"study_design_scores_gemma":[0.002170837,0.0005068961,0.051121,0.00009658589,0.00007310551,0.001388531,0.0004772425,0.00114665,0.0009591551,0.7974398,0.1435126,0.001107597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989089,0.000930447,0.00000935586,0.005223192,0.001644193,0.0002300319,0.0002593355,0.000007863433,0.002606554],"genre_scores_gemma":[0.9962934,0.0003951744,0.0006211505,0.002112849,0.0004726432,0.000006100207,0.0000187307,0.00003592331,0.00004407253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.786906,"threshold_uncertainty_score":0.9998788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016372093262183,"score_gpt":0.1504807483250814,"score_spread":0.04884353899886311,"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."}}