{"id":"W2029676573","doi":"10.1016/j.jairtraman.2013.06.008","title":"Airline market structure and airport efficiency: Evidence from major Northeast Asian airports","year":2013,"lang":"en","type":"article","venue":"Journal of Air Transport Management","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Inha University","keywords":"Inefficiency; Tobit model; Data envelopment analysis; Business; Downstream (manufacturing); Competition (biology); Productivity; Market structure; Air transport; Stochastic frontier analysis; Industrial organization; Sample (material); Estimation; Transport engineering; Econometrics; Economics; Engineering; Microeconomics; Marketing; Statistics; Production (economics); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007653342,0.0002873506,0.0002428308,0.001161242,0.0004617773,0.001195173,0.0003197119,0.0002714896,0.002779064],"category_scores_gemma":[0.001960345,0.0001939371,0.0004255323,0.003033524,0.0006271319,0.001236669,0.0005206249,0.0004765209,0.0003074595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007671721,"about_ca_system_score_gemma":0.000553092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06059938,"about_ca_topic_score_gemma":0.1107385,"domain_scores_codex":[0.999782,0.00005316652,0.00002410157,0.00004434263,0.00003955072,0.00005685491],"domain_scores_gemma":[0.9944913,0.001223335,0.00281066,0.0002285305,0.000664092,0.0005820682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001507237,0.00009541654,0.9951175,0.00001372073,0.00009456752,0.0001332628,0.0006018506,0.0004278406,0.0003799024,0.0002724923,0.0001976982,0.002515013],"study_design_scores_gemma":[0.000004991858,0.00003875948,0.9980338,0.000004127056,0.00003373052,0.00002836659,0.001196838,0.0003474949,0.00009585061,0.00004172805,0.0001703268,0.000003854742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991391,0.00005543809,0.00003268272,0.00002564166,7.787432e-7,0.000002103917,0.0001749177,7.662483e-7,0.0005684374],"genre_scores_gemma":[0.9993161,0.00009586143,0.00002534234,0.000007841114,0.000003123242,0.000001313136,0.0003144603,9.790597e-7,0.0002350915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06059938,"threshold_uncertainty_score":0.1204933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262910826943131,"score_gpt":0.1956132122517245,"score_spread":0.1829841039822932,"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."}}