{"id":"W2127386899","doi":"","title":"원사기준 원산지기준의 경제효과 추정","year":2008,"lang":"ko","type":"article","venue":"관세학회지","topic":"Consumer Perception and Purchasing Behavior","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rules of origin; Clothing; International trade; Order (exchange); Government (linguistics); Economics; Business; International economics; Free trade; Economy; Geography","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":[0.002084581,0.0001597722,0.0002043247,0.0006795378,0.002163454,0.003734189,0.0005332034,0.0009749542,0.01280671],"category_scores_gemma":[0.006800881,0.0001578888,0.0003918402,0.0007736399,0.00193687,0.002868241,0.001394564,0.001545761,0.003448179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002375948,"about_ca_system_score_gemma":0.002893127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01832348,"about_ca_topic_score_gemma":0.01917103,"domain_scores_codex":[0.9974031,0.0005060044,0.0002128276,0.0002755909,0.001179081,0.0004232921],"domain_scores_gemma":[0.9947379,0.0008633003,0.00112936,0.0009503633,0.001924791,0.0003942189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001149701,0.0001857978,0.06964082,0.0002289071,0.00006121596,0.0009866148,0.004889978,0.002659228,0.01004381,0.5687061,0.02638916,0.3160933],"study_design_scores_gemma":[0.00003920863,0.0002477679,0.1291759,0.0002593917,0.00004768849,0.001531837,0.01013678,0.005707562,0.006762987,0.1849992,0.6609235,0.0001680819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3438232,0.001068079,0.04892175,0.01297755,0.0004560341,0.0003634577,0.0003159335,0.000534787,0.5915391],"genre_scores_gemma":[0.9322171,0.0004388525,0.01682002,0.002084207,0.00007902091,0.00007352995,0.0002277649,0.00006478064,0.04799479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01832348,"threshold_uncertainty_score":0.04284275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05405509844052456,"score_gpt":0.2550153117110614,"score_spread":0.2009602132705368,"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."}}