{"id":"W2121503693","doi":"10.1111/j.1540-5982.2006.00374.x","title":"Evolving discretionary practices of U.S. antidumping activity","year":2006,"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":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dumping; Margin (machine learning); Business; Statistical analysis; International trade; Demographic economics; Economics; International economics; Statistics; Computer science; Mathematics","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":[0.001059194,0.0002992462,0.0009988189,0.0009382996,0.0001740796,0.0001597897,0.0006473604,0.0002339445,0.0005078561],"category_scores_gemma":[0.0003432276,0.0004165264,0.0003898206,0.0001805141,0.0002027951,0.001453852,0.00003048537,0.0003624207,0.00006106473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456662,"about_ca_system_score_gemma":0.0008567819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3158201,"about_ca_topic_score_gemma":0.8346877,"domain_scores_codex":[0.9971313,0.00003090862,0.001644867,0.0004418013,0.000002065552,0.0007490425],"domain_scores_gemma":[0.9943595,0.0001495076,0.00414893,0.0004375695,0.0001324452,0.0007720553],"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":[0.00004479558,0.000039305,0.1713375,0.00006774184,0.0001583585,0.00005209131,0.0002291087,0.005297577,0.00004647995,0.821399,0.0009498789,0.00037825],"study_design_scores_gemma":[0.001411371,0.0004374243,0.1254549,0.0001749498,0.00006030091,0.0005838649,0.0004029499,0.006854082,0.0005426099,0.804765,0.05823353,0.001079072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785779,0.001555515,0.0001714931,0.001770571,0.001443581,0.0001749434,0.0005733545,0.000006875453,0.01572574],"genre_scores_gemma":[0.9975315,0.0002134406,0.001001161,0.0001555411,0.0006934939,0.000005542962,0.00002105854,0.00005212438,0.0003261496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5188676,"threshold_uncertainty_score":0.9998286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2299289637212039,"score_gpt":0.1950259243574655,"score_spread":0.03490303936373834,"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."}}