{"id":"W2922582848","doi":"","title":"The Impact of ROO on Africa’s Textiles and Clothing Trade Under AG","year":2004,"lang":"en","type":"article","venue":"","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Commodity; Rules of origin; Welfare; Economics; International trade; Regional trade; Scale (ratio); International economics; Consumer welfare; Economic welfare; Business; Commercial policy; Free trade; Geography; Market economy","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":[0.001557024,0.0003785616,0.0003231058,0.0004740895,0.0005755657,0.00202687,0.0005642984,0.0007907094,0.00604455],"category_scores_gemma":[0.00466354,0.0002079519,0.0006399216,0.0008680298,0.001020579,0.001865782,0.001183423,0.0008344527,0.000353205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002631451,"about_ca_system_score_gemma":0.001216269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01727501,"about_ca_topic_score_gemma":0.01593267,"domain_scores_codex":[0.9990257,0.0004083231,0.00002545694,0.0001031884,0.00008320229,0.0003540914],"domain_scores_gemma":[0.9985402,0.0007101406,0.0003775573,0.000106439,0.0001411254,0.0001245298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007813753,0.0003346128,0.1601835,0.0002409873,0.0002389836,0.001460647,0.0007012725,0.6376151,0.003204854,0.1529184,0.003787601,0.03853257],"study_design_scores_gemma":[0.0002830147,0.001509106,0.2260778,0.0003288176,0.0003599359,0.0007831592,0.005673146,0.6181867,0.004004528,0.1114916,0.0311838,0.0001183209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646851,0.0002537692,0.003958622,0.0008756529,0.00003460722,0.00003875152,0.000682588,0.00002204549,0.02944873],"genre_scores_gemma":[0.9967157,0.0001941173,0.0007708255,0.0000903823,0.000008356171,0.00002137526,0.0001787417,0.00001001897,0.002010513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01727501,"threshold_uncertainty_score":0.03434891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07437248646672931,"score_gpt":0.2338113109956203,"score_spread":0.159438824528891,"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."}}