{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01442348,0.0004518844,0.0008105153,0.003422569,0.000742054,0.0001655874,0.00077554,0.0006220703,0.004237484],"category_scores_gemma":[0.0003421158,0.0005384871,0.0003767362,0.003483781,0.0003751297,0.0009345355,0.00001596663,0.003064647,0.0005111846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007927269,"about_ca_system_score_gemma":0.0003900076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3810242,"about_ca_topic_score_gemma":0.7842321,"domain_scores_codex":[0.9917838,0.0003302348,0.002687623,0.001503361,0.001514004,0.002180975],"domain_scores_gemma":[0.9960918,0.0006841433,0.0003325303,0.000689795,0.001494842,0.0007068295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005719803,0.0006169988,0.9593823,0.00009569024,0.00009478691,0.0001959104,0.02069709,0.006833974,0.00007821559,0.009508171,0.0008721027,0.001052797],"study_design_scores_gemma":[0.001822439,0.0002386443,0.9682739,0.0000933722,0.00002279417,3.971136e-7,0.01354389,0.002376753,0.0000924473,0.002138055,0.01081194,0.0005853701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816673,0.0002586828,0.003292421,0.0008089881,0.0001773553,0.001092922,0.0006502239,0.0001110314,0.01194108],"genre_scores_gemma":[0.9832991,0.00006765191,0.0009829252,0.00008351962,0.0002216039,0.0003780704,0.0004961592,0.0001017198,0.01436923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4032079,"threshold_uncertainty_score":0.9997067,"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."}}