{"id":"W2965695285","doi":"10.1007/s11116-019-10041-7","title":"Heterogeneity in marginal value of urban mobility: evidence from a large-scale household travel survey in the Greater Toronto and Hamilton Area","year":2019,"lang":"en","type":"article","venue":"Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRIPS architecture; Context (archaeology); Value (mathematics); Econometrics; Economics; Travel behavior; Population; Marginal value; Car ownership; Scale (ratio); Econometric model; Microeconomics; Public transport; Transport engineering; Geography; Mathematics; Engineering; Statistics; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001767193,0.0001993205,0.0003797189,0.001516042,0.0008708801,0.001535612,0.001086053,0.0005128532,0.002007599],"category_scores_gemma":[0.009889679,0.0003279283,0.0004684884,0.004668702,0.001792447,0.0007946195,0.000993218,0.0004718875,0.0001484064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004849598,"about_ca_system_score_gemma":0.001841828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8008632,"about_ca_topic_score_gemma":0.8899742,"domain_scores_codex":[0.9980898,0.0009216267,0.0001129727,0.0002592024,0.0002914383,0.0003250349],"domain_scores_gemma":[0.9878312,0.00539286,0.003176569,0.001072095,0.001405723,0.001121621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009170544,0.00002413527,0.9946619,0.00002379081,0.0001943386,0.00008780907,0.002151011,0.0004584966,0.00007779029,0.0004787133,0.0002792241,0.001471107],"study_design_scores_gemma":[0.000003907484,0.00001093848,0.9972401,0.0000103431,0.00002871454,0.00001964847,0.002056595,0.0003218199,0.0000209848,0.00009358727,0.0001877199,0.000005576534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980652,0.0001612244,0.00008565183,0.0001229795,0.000001571128,0.000006864695,0.0008429735,0.000001822648,0.0007117536],"genre_scores_gemma":[0.9995071,0.00006423608,0.00002623588,0.000008020788,0.000001752071,0.000002307541,0.0002740597,8.901011e-7,0.0001155002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1991368,"threshold_uncertainty_score":0.4006191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085926438826023,"score_gpt":0.2249517535171821,"score_spread":0.1163591096345798,"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."}}