{"id":"W637042479","doi":"","title":"Modeling Air Traveler Choice Behavior in Southern Ontario Market","year":2007,"lang":"en","type":"article","venue":"Transportation Research Board 86th Annual MeetingTransportation Research Board","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nested logit; Schedule; Destinations; Air travel; Discrete choice; Preference; Choice set; Travel behavior; Operations research; Revealed preference; Estimation; Logit; Marketing; Transport engineering; Aviation; Computer science; Business; Econometrics; Geography; Tourism; Economics; Engineering; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001325337,0.0006129366,0.0006968527,0.001080518,0.001248768,0.001736662,0.001742094,0.001171081,0.009341656],"category_scores_gemma":[0.002973194,0.0005861776,0.0009281076,0.001562121,0.0009537352,0.001135532,0.0006970931,0.0007860265,0.0007332611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01230057,"about_ca_system_score_gemma":0.004617475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.885142,"about_ca_topic_score_gemma":0.8723081,"domain_scores_codex":[0.9994656,0.0001685661,0.00001286237,0.0001037608,0.00006388994,0.0001853335],"domain_scores_gemma":[0.9988405,0.0005495889,0.0002052081,0.00006589999,0.0001727363,0.000166083],"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":[0.0008635061,0.0005285067,0.1858386,0.0001216614,0.0002529071,0.0008849184,0.001968478,0.7596518,0.001500159,0.02931591,0.00606465,0.01300887],"study_design_scores_gemma":[0.0001193283,0.00009679607,0.04027989,0.00001770992,0.00005476353,0.00004086208,0.0006936574,0.9533895,0.00009116533,0.002449565,0.002726018,0.00004077998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873793,0.0002222374,0.004515514,0.0005420475,0.00001354595,0.0001054514,0.001611009,0.00006009857,0.005550894],"genre_scores_gemma":[0.9826627,0.0002444498,0.001821287,0.00003626913,0.00001304965,0.00009272076,0.001152896,0.00001646575,0.01396039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.114858,"threshold_uncertainty_score":0.2310687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013204156317614,"score_gpt":0.350041598227695,"score_spread":0.2487211825959335,"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."}}