{"id":"W2351168338","doi":"","title":"The Green Barrier of Trade Effect of EU's Environmental Regulations on Textile and Clothing Exported from China Based on Panel Data Analysis on China's Four Types of Textile and Clothing Exported to Eleven of the EU Member Countries: 1990-2006","year":2009,"lang":"en","type":"article","venue":"China Industrial Economy","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; China; Textile; European union; International trade; Panel data; Quarter (Canadian coin); Business; Economics; Geography; Econometrics","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":[0.001015059,0.0003000159,0.001119478,0.0003512836,0.00020737,0.00004299777,0.0005380856,0.0002101989,0.000244656],"category_scores_gemma":[0.0001920868,0.0002311226,0.0002883961,0.0003308836,0.0002245841,0.0002114212,0.0001020221,0.0002734802,0.000003487745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000885403,"about_ca_system_score_gemma":0.0000504075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003255211,"about_ca_topic_score_gemma":0.0001428405,"domain_scores_codex":[0.9976694,0.0001101485,0.001272588,0.000619729,0.0001044975,0.0002236114],"domain_scores_gemma":[0.996929,0.0005112381,0.001414874,0.001028326,0.000008663834,0.0001078186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004734823,0.001217515,0.723199,0.0001409211,0.007488549,0.000007012298,0.00610917,0.1699816,0.0006629268,0.02360655,0.003387373,0.05946461],"study_design_scores_gemma":[0.002581091,0.0008580238,0.8979915,0.0001076798,0.0005644928,8.620138e-7,0.0001316064,0.08678122,0.001324038,0.001551734,0.00770706,0.0004006274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925263,0.0001345916,0.0001024457,0.001802777,0.00008753782,0.0005308316,0.002181532,0.000007542467,0.002626439],"genre_scores_gemma":[0.9992709,0.00005491232,0.00004199715,0.0001551019,0.0001235933,0.00001213319,0.0001934283,0.0000214318,0.0001265119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1747926,"threshold_uncertainty_score":0.9424906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672387429556879,"score_gpt":0.2181764996630666,"score_spread":0.1814526253674978,"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."}}