{"id":"W3192898382","doi":"","title":"WTOアンチダンピング等最新判例解説(71)対価の妥当性の判断にかかるベンチマーク及び補助金額算定に際しての負の利益のゼロイングの可否 : United States : Countervailing Measures on Softwood Lumber from Canada (WT/DS533/R)","year":2021,"lang":"ja","type":"article","venue":"国際商事法務","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Softwood; International trade; International economics; Business; Agricultural economics; Economics; Pulp and paper industry; Engineering","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":[0.000478411,0.0003117343,0.0001314179,0.001076296,0.003675349,0.002246346,0.0004991826,0.001444298,0.009440025],"category_scores_gemma":[0.0009546343,0.00020449,0.0003131005,0.001009598,0.001522338,0.0004531265,0.0005721282,0.001618866,0.001132304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008246243,"about_ca_system_score_gemma":0.01517366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.866121,"about_ca_topic_score_gemma":0.9546745,"domain_scores_codex":[0.9993961,0.00001939336,0.00001916175,0.00004389069,0.0003451477,0.0001762938],"domain_scores_gemma":[0.9993151,0.00005058653,0.00004522843,0.00001304115,0.0004800469,0.00009586391],"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":[0.001429391,0.0007431054,0.06702756,0.0007300579,0.0001744409,0.004915314,0.01023425,0.00336057,0.0805006,0.1528479,0.3373393,0.3406974],"study_design_scores_gemma":[0.00008755623,0.0003774178,0.18483,0.0001853693,0.0002094238,0.0004971147,0.009128513,0.0008233882,0.03663928,0.00557371,0.7614895,0.0001588103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4093326,0.004220639,0.001389023,0.01885755,0.001685305,0.000381766,0.002248756,0.0001996938,0.5616847],"genre_scores_gemma":[0.625877,0.003906929,0.002395584,0.007425533,0.0002773862,0.00007116057,0.0008996908,0.00002693869,0.3591198],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.133879,"threshold_uncertainty_score":0.2693349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217866642202157,"score_gpt":0.2387064647017262,"score_spread":0.2169198004815105,"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."}}