{"id":"W2563581392","doi":"","title":"Effects of Air and High-Speed Rail Transport Integration on Profits and Welfare: The Case of Air-Rail Connecting Time","year":2016,"lang":"en","type":"article","venue":"","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Air transport; Incentive; Transport engineering; Economic surplus; Vertical integration; Constraint (computer-aided design); Business; Welfare; Social Welfare; Aviation; Industrial organization; Automotive engineering; Engineering; Economics; Microeconomics; Market economy; Mechanical engineering","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":[0.002040869,0.000922352,0.001109001,0.001201189,0.001362419,0.003289344,0.001278972,0.002355038,0.01210042],"category_scores_gemma":[0.005171805,0.000377957,0.002154559,0.001164759,0.003931219,0.003397345,0.003066965,0.002680223,0.0003279821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004476469,"about_ca_system_score_gemma":0.002268297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01666074,"about_ca_topic_score_gemma":0.01218959,"domain_scores_codex":[0.9983229,0.0006264213,0.00002833897,0.000138787,0.0001043041,0.0007792891],"domain_scores_gemma":[0.9938126,0.003704349,0.00106778,0.0002413169,0.0003641167,0.0008099303],"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":[0.00416439,0.003498112,0.0790406,0.000576068,0.0008880287,0.005548381,0.001301768,0.3523653,0.01478677,0.4987668,0.004615694,0.03444805],"study_design_scores_gemma":[0.001438646,0.004224257,0.1791254,0.0005414169,0.003133584,0.001306728,0.01481817,0.3908584,0.009510794,0.3818403,0.01277958,0.0004226878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553257,0.0008931902,0.004640534,0.002216832,0.00004938612,0.00008244835,0.0003120769,0.00002679097,0.03645309],"genre_scores_gemma":[0.9977655,0.0002585929,0.0003928108,0.00009131933,0.00002187844,0.00002271209,0.00002760972,0.000004811476,0.001414683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01666074,"threshold_uncertainty_score":0.04047996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338231643410973,"score_gpt":0.2037526393117364,"score_spread":0.1903703228776267,"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."}}