{"id":"W1229773905","doi":"10.54648/gtcj2012029","title":"Judicial Review of Anti-dumping Measures in China","year":2012,"lang":"en","type":"article","venue":"Global Trade and Customs Journal","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tribunal; Dumping; Judicial review; China; Political science; Law; Deference; Jurisdiction; International trade; Business","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":[0.0108848,0.0002513142,0.0005181079,0.003555731,0.003346255,0.003852583,0.001595333,0.001663177,0.0006741349],"category_scores_gemma":[0.01724508,0.0004033241,0.0004918761,0.005799823,0.002341451,0.001061372,0.001621423,0.00108133,0.00007390767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01495986,"about_ca_system_score_gemma":0.02786972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.147548,"about_ca_topic_score_gemma":0.1809033,"domain_scores_codex":[0.9885451,0.002297065,0.001109994,0.001002246,0.005107323,0.001938241],"domain_scores_gemma":[0.980837,0.007456453,0.003958558,0.00114426,0.005628327,0.0009753665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005384344,0.0002487074,0.3427606,0.002453409,0.0006481529,0.01130894,0.03908629,0.02189426,0.01002326,0.1224591,0.03838974,0.4101891],"study_design_scores_gemma":[0.0002027154,0.0008020141,0.6441554,0.001005482,0.0006777554,0.001850628,0.01408192,0.01793505,0.01960101,0.01141557,0.2878502,0.0004222399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271744,0.01738033,0.001975895,0.007076401,0.0003002046,0.0002586815,0.0002361869,0.00005635665,0.04554155],"genre_scores_gemma":[0.9848311,0.004503088,0.0009827255,0.001074013,0.0001310849,0.0000545727,0.0001416769,0.000008467338,0.008273201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.147548,"threshold_uncertainty_score":0.2933784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137559777398961,"score_gpt":0.305536707373042,"score_spread":0.2841611095990524,"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."}}