{"id":"W2799377177","doi":"","title":"섬유/의류 산업의 FTA 대응전략(한-미, 한-중 FTA를 중심으로)","year":2016,"lang":"ko","type":"article","venue":"한국의류산업학회지","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International trade; Clothing; Free trade; Business; China; Market access; Rules of origin; Trade barrier; Treaty; International free trade agreement; Textile industry; Liberalization; Tariff; Commercial policy; Free trade agreement; Economics; Political science; Geography; Agriculture","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":[0.0009208021,0.0002436374,0.0001240376,0.0005258845,0.001689918,0.00207573,0.0003874892,0.001082375,0.03976432],"category_scores_gemma":[0.0008487016,0.0001412078,0.0002656767,0.0008879166,0.0006950235,0.001050225,0.001107393,0.001311782,0.01433088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187603,"about_ca_system_score_gemma":0.002625837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02336163,"about_ca_topic_score_gemma":0.01658877,"domain_scores_codex":[0.9993405,0.00009188723,0.00003957278,0.00008960813,0.0002559785,0.0001824768],"domain_scores_gemma":[0.9996033,0.00004683459,0.00005501308,0.00003693044,0.0001779862,0.00007979745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009407016,0.00007064166,0.004132081,0.0002703172,0.00001656052,0.0003953456,0.001919972,0.0002398779,0.001712419,0.411197,0.3940551,0.1858966],"study_design_scores_gemma":[0.000004268677,0.0000111045,0.003107286,0.00004375496,0.00000238609,0.0001204978,0.0002504432,0.00006742978,0.000415105,0.002495792,0.9934751,0.000006743502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02077257,0.003105758,0.002633265,0.00798632,0.001070066,0.0001772071,0.002315182,0.0002869018,0.9616527],"genre_scores_gemma":[0.1836721,0.002574394,0.004519215,0.003652159,0.0001735344,0.0001812931,0.001927367,0.00009915555,0.8032008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03976432,"threshold_uncertainty_score":0.1330249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138667001157738,"score_gpt":0.2403385974574245,"score_spread":0.2264718973416507,"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."}}