{"id":"W7152944128","doi":"","title":"Enhancing Equity in Transportation Infrastructure Planning: An analysis of disparities in spatial access to select destinations in Canada","year":2025,"lang":"en","type":"article","venue":"TSpace","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Destinations; Equity (law); Transport infrastructure; Urban infrastructure; Transportation infrastructure; Public transport","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001314403,0.0002412505,0.0004700462,0.002107198,0.003544201,0.003042029,0.001240673,0.0004036379,0.00380513],"category_scores_gemma":[0.006761052,0.0001893728,0.0005609158,0.01053772,0.001914587,0.001043486,0.003161433,0.001463417,0.0001367214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0857811,"about_ca_system_score_gemma":0.1200213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978509,"about_ca_topic_score_gemma":0.9989566,"domain_scores_codex":[0.9979442,0.0001691393,0.00005046248,0.0001490639,0.0006908737,0.0009963564],"domain_scores_gemma":[0.9968864,0.000476659,0.0003153899,0.0001073965,0.001394065,0.0008199807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000835403,0.0001171996,0.8870518,0.0001182455,0.0001072534,0.0001423722,0.006444345,0.005245125,0.00009774034,0.03676511,0.01374458,0.05008264],"study_design_scores_gemma":[0.00001009792,0.00003011724,0.9623731,0.0002330752,0.00006693932,0.00003540287,0.01690792,0.004869347,0.0001074305,0.002701591,0.01263493,0.00003011957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589703,0.001918985,0.0005980905,0.004847981,0.00002778589,0.00008884821,0.004594529,0.00002030235,0.02893317],"genre_scores_gemma":[0.9959549,0.0007917516,0.0003710685,0.0001153884,0.000005255031,0.00001598049,0.001022977,0.000007390927,0.001715379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0857811,"threshold_uncertainty_score":0.6223884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698976138013291,"score_gpt":0.3998747694443454,"score_spread":0.3728850080642125,"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."}}