{"id":"W2110931934","doi":"","title":"‘인도네시아자동차사건’에서의 TRIMs관련 법적 쟁점","year":2004,"lang":"ko","type":"article","venue":"국제경제법연구","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Incentive; Automotive industry; Discretion; Scope (computer science); Negotiation; Business; International trade; Foreign direct investment; Economics; International economics; Engineering; Market economy; Law; Macroeconomics; Political science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000587598,0.0005474866,0.001062383,0.0003538834,0.0002910425,0.0003538095,0.0007886382,0.000539363,0.002091897],"category_scores_gemma":[0.0001137358,0.0007417075,0.0005539641,0.0004792781,0.0001738682,0.0005854258,0.0001779567,0.0005283356,0.02824005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000709973,"about_ca_system_score_gemma":0.0001526046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157099,"about_ca_topic_score_gemma":0.0001260173,"domain_scores_codex":[0.9961461,0.00001886826,0.001487217,0.001117571,0.00006702613,0.00116323],"domain_scores_gemma":[0.9978551,0.00005466972,0.0006173418,0.0009996068,0.00004051639,0.0004327648],"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":[0.0002454772,0.002156671,0.1410777,0.0004676723,0.001092958,0.0002658864,0.003211309,0.007808162,0.00008457595,0.7826169,0.05111218,0.009860543],"study_design_scores_gemma":[0.005638462,0.0004861105,0.05580286,0.0001299077,0.00007315726,0.00007240716,0.0004089094,0.000634365,0.0005824681,0.0983917,0.8359333,0.001846402],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7600144,0.01241782,0.001203308,0.007752387,0.006236012,0.0006641369,0.001181935,0.0001729525,0.210357],"genre_scores_gemma":[0.9847198,0.00373159,0.001745944,0.002176316,0.0009733345,0.00002572323,0.00007510528,0.0001021823,0.006450069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7848211,"threshold_uncertainty_score":0.9995034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06158619184882592,"score_gpt":0.2043178227248643,"score_spread":0.1427316308760384,"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."}}