{"id":"W1111738352","doi":"10.1061/(asce)te.1943-5436.0000072","title":"Including Minor Modes of Transport in a Tour-Based Mode Choice Model with Household Interactions","year":2009,"lang":"en","type":"article","venue":"Journal of Transportation Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mode choice; Public transport; Transport engineering; TRIPS architecture; Mode (computer interface); Travel behavior; Sample (material); Service (business); Process (computing); Computer science; Operations research; Engineering; Business; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00108521,0.0007994263,0.0009900979,0.0006074471,0.0006937925,0.001514714,0.002459224,0.001876932,0.007844175],"category_scores_gemma":[0.00173642,0.0008140628,0.001093687,0.0011543,0.001159396,0.00120451,0.0009997336,0.001418107,0.0007985709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923809,"about_ca_system_score_gemma":0.001604414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0796532,"about_ca_topic_score_gemma":0.06004651,"domain_scores_codex":[0.9994469,0.000277388,0.00001461312,0.0001027129,0.00004252212,0.0001157323],"domain_scores_gemma":[0.9991601,0.0005284618,0.00009446233,0.00003912064,0.00008874211,0.00008915539],"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":[0.0001056916,0.0000590793,0.002669409,0.00001445334,0.00003399998,0.0001108726,0.00009685506,0.9851609,0.000191301,0.009493459,0.0004041187,0.001659747],"study_design_scores_gemma":[0.00002388562,0.00002278823,0.0005004606,0.000003382988,0.0000146532,0.00001281419,0.00002858557,0.9973562,0.00002862297,0.001719246,0.0002802481,0.000009089065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6477964,0.0003178458,0.3309393,0.001249079,0.0001033479,0.0002901591,0.002863006,0.0003479745,0.01609297],"genre_scores_gemma":[0.9646162,0.0001938521,0.01514584,0.0001061246,0.00004282156,0.0003132314,0.0007223631,0.0000353365,0.01882431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0796532,"threshold_uncertainty_score":0.1583791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03856002716406693,"score_gpt":0.3036596445574683,"score_spread":0.2650996173934014,"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."}}