{"id":"W4381618862","doi":"10.1016/j.jtrangeo.2023.103635","title":"Are low-income residents disproportionately moving away from transit?","year":2023,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Public transport; Demographic economics; Suburbanization; Neighbourhood (mathematics); Poverty; Gentrification; Geography; Low income; Transit (satellite); Economic growth; Business; Economics; Transport engineering; Metropolitan area; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005208845,0.0001893071,0.0003560405,0.001182675,0.001011524,0.001550137,0.000670562,0.00146465,0.005539792],"category_scores_gemma":[0.005348307,0.000254403,0.0004378623,0.002280131,0.0007021892,0.001833864,0.0006786958,0.001276,0.0007671239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000569165,"about_ca_system_score_gemma":0.0008000592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0469881,"about_ca_topic_score_gemma":0.06470814,"domain_scores_codex":[0.9994844,0.0001247478,0.00004008537,0.00007784726,0.00007026712,0.0002026639],"domain_scores_gemma":[0.9972229,0.0003527382,0.001253716,0.00009046971,0.0003012133,0.0007790375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005512029,0.00008141071,0.9930127,0.00002195555,0.00004750797,0.0001117913,0.0005911252,0.00001527995,0.00003790658,0.0001829992,0.001488747,0.004353423],"study_design_scores_gemma":[0.000004870421,0.00003549691,0.9913073,0.00005029385,0.00005005145,0.0002468092,0.006899504,0.00007036248,0.00002217117,0.0003085588,0.0009976868,0.00000689644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881496,0.0009717809,0.00005317556,0.005955478,0.00009992017,0.000009115217,0.0006262793,0.00000341113,0.00413128],"genre_scores_gemma":[0.99831,0.0005413859,0.00002951178,0.0004064119,0.00009768156,0.000007676672,0.0002190419,0.000001887248,0.0003863322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0469881,"threshold_uncertainty_score":0.09342921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849067835517774,"score_gpt":0.2873255781224889,"score_spread":0.2688348997673111,"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."}}