{"id":"W573624522","doi":"","title":"Evolution of Modal Captivity and Mode Choice Patterns for Commuting Trips: Longitudinal Analysis by Using Cross-Sectional Data Sets","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pooling; Mode choice; Captivity; Econometrics; Revealed preference; Modal; Mode (computer interface); Preference; Set (abstract data type); Geography; Computer science; Statistics; Economics; Mathematics; Engineering; Artificial intelligence; Transport engineering","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":[0.006564443,0.00030506,0.0003822673,0.001174778,0.0003997173,0.0009475666,0.0005238446,0.0006153901,0.001309232],"category_scores_gemma":[0.01521113,0.0004325187,0.001028057,0.002053702,0.0003434855,0.001033759,0.0008459715,0.0007681056,0.0002868913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006061291,"about_ca_system_score_gemma":0.0006147854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02712394,"about_ca_topic_score_gemma":0.0310025,"domain_scores_codex":[0.9979309,0.001271683,0.0001558871,0.000315683,0.0001733134,0.0001526305],"domain_scores_gemma":[0.9855934,0.006610583,0.004059615,0.00238618,0.0008761296,0.0004741416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000585964,0.00008111489,0.9903201,0.00001495656,0.0003286654,0.00005580669,0.0003589959,0.0037882,0.0001744622,0.0004584279,0.0003393755,0.004021168],"study_design_scores_gemma":[0.000009779203,0.0001594941,0.9569014,0.00002571069,0.0001800357,0.00009737368,0.0007143191,0.03947283,0.0002881927,0.0009717315,0.001147178,0.00003195768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891002,0.0001199441,0.008183521,0.0001732382,0.00001202237,0.00003104855,0.001985456,0.00003014224,0.0003644634],"genre_scores_gemma":[0.9931281,0.0000820604,0.003200127,0.00003031649,0.00001001882,0.00006941261,0.003121197,0.00000724936,0.0003515011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02712394,"threshold_uncertainty_score":0.05393207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1767139646208539,"score_gpt":0.4802357766208677,"score_spread":0.3035218120000138,"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."}}