{"id":"W2092257999","doi":"10.1007/s11116-014-9537-2","title":"An investigation on mode choice and travel distance demand of older people in the National Capital Region (NCR) of Canada: application of a utility theoretic joint econometric model","year":2014,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Economic Development and Innovation","keywords":"Travel survey; Capital region; Mode choice; Older people; Econometric model; Travel behavior; Empirical research; Modal; Mode (computer interface); Population; Social capital; Economics; Distance decay; Public economics; Demographic economics; Geography; Transport engineering; Public transport; Econometrics; Economic geography; Microeconomics; Engineering; Computer science; Sociology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007578311,0.00006748147,0.0001569868,0.00008091248,0.00006421641,0.000004664191,0.0001091956,0.00005134362,0.000003024239],"category_scores_gemma":[0.00003949822,0.00005806759,0.00002615962,0.0003424882,0.0001962593,0.0002038546,4.617266e-7,0.00005737234,2.604293e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004468413,"about_ca_system_score_gemma":0.0002209471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1551676,"about_ca_topic_score_gemma":0.7995736,"domain_scores_codex":[0.9989128,0.00009143512,0.0003817763,0.0001761776,0.0003491864,0.00008868735],"domain_scores_gemma":[0.9993495,0.000124533,0.0002508124,0.0001063011,0.0001323385,0.00003652121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000360763,0.000138577,0.8626086,0.0001605505,0.000004207624,3.356029e-8,0.03662157,0.007258801,0.0003532906,0.09239914,0.00000385979,0.0004152704],"study_design_scores_gemma":[0.000220088,0.00002469013,0.9224536,0.0000157157,0.0000132389,1.446237e-8,0.0008672472,0.0517038,0.0005661016,0.02408409,7.895515e-7,0.00005055542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970225,0.00001756276,0.02893318,0.0001732583,0.00001000245,0.0003109185,0.00005484196,0.000003691621,0.00027149],"genre_scores_gemma":[0.9997383,0.000007480918,0.00009489898,0.00002785124,0.00001171666,0.00001875951,0.00009406265,0.000003597806,0.000003311975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.644406,"threshold_uncertainty_score":0.8504583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391236429434121,"score_gpt":0.2621579690231122,"score_spread":0.238245604728771,"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."}}