{"id":"W2149982143","doi":"10.22004/ag.econ.95806","title":"Challenging US Country of Origin Labelling at the World Trade Organization: The Law, The Issues and The Evidence","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"World trade; Bolster; International trade; Legislation; Business; International trade law; Political science; Law; International economics; Economics; Geography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.01634182,0.0003119638,0.0006083559,0.004075131,0.00759149,0.01386359,0.002588927,0.01228731,0.00728551],"category_scores_gemma":[0.05285575,0.0003964858,0.0007416374,0.007653512,0.006060816,0.007317321,0.002586558,0.009582659,0.001341611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01304835,"about_ca_system_score_gemma":0.02415098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3358838,"about_ca_topic_score_gemma":0.4349599,"domain_scores_codex":[0.9849284,0.004082866,0.0008955998,0.001024504,0.006772406,0.002296254],"domain_scores_gemma":[0.9081638,0.04926093,0.008694168,0.003523228,0.02706755,0.003290251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001211704,0.0001439551,0.02795522,0.0006276519,0.00006707735,0.0007728272,0.00388129,0.000431844,0.0003999137,0.5643387,0.3513987,0.04986159],"study_design_scores_gemma":[0.00004390873,0.00005575508,0.05259612,0.005997709,0.0001388001,0.0003159988,0.01721819,0.0009905422,0.001560397,0.08288959,0.8380157,0.0001770766],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04551805,0.03169226,0.002490212,0.703377,0.004496825,0.00007669434,0.001585645,0.00006404277,0.2106993],"genre_scores_gemma":[0.5140136,0.04208773,0.005889681,0.3787385,0.003765439,0.0001609426,0.002292146,0.00009905754,0.05295284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3358838,"threshold_uncertainty_score":0.6678575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06058115227292107,"score_gpt":0.2244572060844433,"score_spread":0.1638760538115222,"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."}}