{"id":"W4249662306","doi":"10.32920/ryerson.14651940","title":"Travel Lifestyles And The Built Environment: Exploring How Post-Secondary Students Navigate the GTHA","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neighbourhood (mathematics); Built environment; Travel behavior; Geography; Modal; Population; Transport engineering; Psychology; Sociology; Engineering; Demography; Mathematics; Civil engineering","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":[0.0002906091,0.000162683,0.0002430221,0.0006715991,0.0009702866,0.001764354,0.0003480842,0.0003508262,0.003156046],"category_scores_gemma":[0.0009200839,0.0001653531,0.0002895115,0.0009962138,0.0005704907,0.0005524189,0.0008711594,0.0006033884,0.0004415058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364638,"about_ca_system_score_gemma":0.002379322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3667814,"about_ca_topic_score_gemma":0.5787268,"domain_scores_codex":[0.9997608,0.00003787519,0.00001182151,0.00002536803,0.00005498613,0.000109172],"domain_scores_gemma":[0.9993919,0.00006853519,0.0001376082,0.00002522611,0.0001135359,0.0002631445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002993869,0.0000931492,0.9760213,0.00002387488,0.00001391599,0.00007326461,0.01734914,0.0000281512,0.0002587411,0.00008953416,0.0002460297,0.0057728],"study_design_scores_gemma":[7.897446e-7,0.00006492063,0.9602348,0.00001252943,0.000006014724,0.00003056875,0.03873281,0.00006266739,0.00004123223,0.00002397303,0.0007852285,0.000004408662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993303,0.00003187019,0.0000174291,0.00003889739,0.000001192116,0.000004623469,0.00008053064,9.192916e-7,0.0004942904],"genre_scores_gemma":[0.9988337,0.00009075395,0.00004167134,0.00001805296,0.000001483629,0.000005111494,0.00008721474,0.000001182033,0.0009208485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6332186,"threshold_uncertainty_score":0.7292929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939847136236861,"score_gpt":0.2931644275401832,"score_spread":0.2437659561778146,"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."}}