{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001111226,0.00007621427,0.0002060913,0.00003874206,0.0002158743,0.00003295983,0.0001348436,0.00005376282,0.0001732799],"category_scores_gemma":[0.0001771896,0.00006881436,0.00004966842,0.0004964134,0.0001571144,0.0003626204,0.00001382919,0.000162087,0.000004226457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008068736,"about_ca_system_score_gemma":0.000111385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001630516,"about_ca_topic_score_gemma":0.0001130692,"domain_scores_codex":[0.9987208,0.0002135453,0.0002967865,0.00007286579,0.0003956085,0.0003003652],"domain_scores_gemma":[0.9995797,0.00001431606,0.0001399153,0.00005045966,0.00002650475,0.0001891125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001585179,0.0002987407,0.707932,0.000462017,0.00006178853,0.0000217029,0.006226636,0.000005784977,0.0002218926,0.230863,0.009783803,0.04410685],"study_design_scores_gemma":[0.0003687634,0.00001594896,0.7735662,0.001501911,0.00004652451,0.00009638591,0.0005302645,7.409663e-7,0.00005678778,0.0006583523,0.2230082,0.0001499298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6054383,0.2096763,0.0002089716,0.09624191,0.002255148,0.0005529422,0.00002321168,0.00008373102,0.08551953],"genre_scores_gemma":[0.9744113,0.02445568,0.00009620962,0.0005353338,0.0004864163,4.625789e-7,5.299614e-7,0.000004332383,0.000009729778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.368973,"threshold_uncertainty_score":0.2806168,"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."}}