{"id":"W7132980351","doi":"","title":"Gentrification, Mobility and Automobility; A quantitative study of local driving mode share and commute time in Montréal, Toronto and Vancouver","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Gentrification; Metropolitan area; Mode (computer interface); Scale (ratio); Displacement (psychology); Public transport; Census","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0004431042,0.0003299344,0.0003130507,0.002027759,0.003179892,0.001954335,0.0009863334,0.000365167,0.003416008],"category_scores_gemma":[0.001672336,0.0003070992,0.0004577586,0.005909951,0.001276498,0.0005483454,0.00150609,0.0004835084,0.0004160875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02679659,"about_ca_system_score_gemma":0.01858559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957145,"about_ca_topic_score_gemma":0.9985018,"domain_scores_codex":[0.9994492,0.00006020862,0.00002614803,0.00008939185,0.0001908924,0.0001842892],"domain_scores_gemma":[0.9986579,0.00009876322,0.000231668,0.00005593986,0.0004807727,0.0004749228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004003638,0.00003477979,0.9737906,0.0000642827,0.00006242614,0.0001706105,0.01522189,0.0004311394,0.0004936104,0.0007209417,0.003225958,0.005743742],"study_design_scores_gemma":[0.00000161892,0.000009213819,0.9844492,0.0000249006,0.000007037294,0.00002509695,0.01242958,0.000198546,0.00004554541,0.00001769928,0.002775532,0.00001596346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911348,0.000281215,0.00009150739,0.0001680913,0.000005932272,0.00004029462,0.004362873,0.00001163453,0.003903707],"genre_scores_gemma":[0.9944354,0.0002699064,0.0001622932,0.00004114944,0.000003960144,0.00003221357,0.001864472,0.000008829616,0.003181798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02679659,"threshold_uncertainty_score":0.1944237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380799618058749,"score_gpt":0.3706351366610257,"score_spread":0.3468271404804382,"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."}}