{"id":"W2053432051","doi":"10.3846/aviation.2010.14","title":"INVESTIGATION OF EUROPEAN AIR TRANSPORT TRAFFIC BY UTILITY‐BASED DECISION MODEL","year":2010,"lang":"en","type":"article","venue":"Aviation","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Air transport; Liberalization; Deregulation; Aviation; Air traffic control; Transport engineering; European union; Low-cost carrier; Passenger transport; Scope (computer science); Business; Operations research; Industrial organization; International trade; Engineering; Computer science; Economics; Market economy; Marketing","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":[0.001707861,0.0009849853,0.001509812,0.0009785622,0.0006405291,0.002332132,0.001324557,0.00236685,0.003737841],"category_scores_gemma":[0.003351809,0.0006228196,0.001112553,0.001288883,0.0008487137,0.001049969,0.00103632,0.001362894,0.0002548713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002464037,"about_ca_system_score_gemma":0.001712578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04201852,"about_ca_topic_score_gemma":0.01201946,"domain_scores_codex":[0.9990245,0.0005677471,0.00002492485,0.000124837,0.00008051691,0.0001774853],"domain_scores_gemma":[0.9978897,0.001587457,0.0001424198,0.00004367001,0.0002338993,0.0001029487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002602216,0.00002400875,0.0005002792,0.00001175081,0.00001511041,0.00005830169,0.00001235288,0.9946011,0.00003788369,0.003859187,0.0001485129,0.0007055051],"study_design_scores_gemma":[0.000004150961,0.000008374574,0.00007420003,0.000002477529,0.00000348071,0.000004229788,0.00001081448,0.9991585,0.00001330798,0.000625342,0.0000932395,0.00000197365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6270313,0.001799139,0.3220459,0.001451872,0.0001798421,0.0002292413,0.001450623,0.0002447187,0.04556743],"genre_scores_gemma":[0.9853339,0.0003783743,0.008082804,0.00007694173,0.0000241618,0.0001034869,0.0003173981,0.00002031531,0.005662593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04201852,"threshold_uncertainty_score":0.08354789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472738980876167,"score_gpt":0.2161400636009279,"score_spread":0.1814126737921663,"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."}}