{"id":"W2883257683","doi":"","title":"공법 : 미국,EU간 항공기보조금분쟁과 WTO 분쟁해결제도에 관한 연구","year":2008,"lang":"ko","type":"article","venue":"","topic":"Environmental Policies and Emissions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Enforcement; Plaintiff; Civil aviation; Law and economics; Business; Compliance (psychology); Aviation; Law; International trade; Political science; Economics; Engineering","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":[0.0001553357,0.0004724945,0.000362064,0.00005056366,0.0009607155,0.000046024,0.0006492595,0.0002530936,0.08694576],"category_scores_gemma":[0.000025741,0.0004110254,0.0002653731,0.0003226858,0.001097966,0.0003722058,0.000926397,0.0003899643,0.02455554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004304938,"about_ca_system_score_gemma":0.0000249793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004282039,"about_ca_topic_score_gemma":0.0001771831,"domain_scores_codex":[0.9968588,0.00007314958,0.000503039,0.0007627854,0.0007514216,0.001050844],"domain_scores_gemma":[0.9982233,0.00006910355,0.0001181028,0.0008212294,0.000003170453,0.0007650619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005552716,0.001576818,0.4584375,0.00004648984,0.00009515765,0.000301599,0.004393665,0.001705825,0.07205524,0.0006772592,0.4419469,0.01870803],"study_design_scores_gemma":[0.000778557,0.0002820493,0.7062201,0.00005072747,0.00005560751,0.0002037927,0.001206861,0.00115797,0.01448101,0.0002777271,0.2742924,0.0009931504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8349782,0.0002389171,0.0001437994,0.004495698,0.000410852,0.0003233064,0.00005342371,0.0001038765,0.1592519],"genre_scores_gemma":[0.8706694,0.002304498,0.0008600754,0.003300121,0.0002214087,0.00001437808,0.00001503345,0.0000514229,0.1225637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2477826,"threshold_uncertainty_score":0.9998342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500819469710427,"score_gpt":0.2162352061933759,"score_spread":0.2012270114962716,"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."}}