{"id":"W4410093126","doi":"10.1016/j.cities.2025.106041","title":"Bridging the gap: A social equity analysis of intra-city transit access to inter-city rail in Canada","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Western University","funders":"","keywords":"Bridging (networking); Equity (law); Social equality; Business; Rail transit; Regional science; Transport engineering; Economic geography; Political science; Geography; Engineering; Computer science; Computer security; Law","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":[0.0008370645,0.0003056492,0.000378464,0.002978513,0.003581529,0.002341788,0.001036296,0.0003041594,0.002697545],"category_scores_gemma":[0.002861154,0.0001267207,0.0005853623,0.006755358,0.001275166,0.0008170716,0.002161741,0.0006347885,0.0001361718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04251018,"about_ca_system_score_gemma":0.03765162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960262,"about_ca_topic_score_gemma":0.9972519,"domain_scores_codex":[0.9989843,0.00009720252,0.00002753872,0.0001265011,0.0002653652,0.0004991901],"domain_scores_gemma":[0.998203,0.000185437,0.0001852436,0.00007047844,0.0009924549,0.0003633894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008659111,0.0000663379,0.9528876,0.0000564482,0.0001072874,0.0001772047,0.007973534,0.002649628,0.0002387911,0.01047611,0.002864963,0.02241553],"study_design_scores_gemma":[0.000004747584,0.00001690889,0.9720387,0.00006334962,0.00005398407,0.00003610881,0.01535222,0.006488695,0.0001139834,0.0008488137,0.004963636,0.00001875072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892712,0.0002822859,0.0007044564,0.0004258351,0.000006179395,0.00003940591,0.001733099,0.00001025887,0.00752737],"genre_scores_gemma":[0.9982678,0.00009833401,0.000265325,0.00002769798,0.000001713867,0.00001015615,0.0005506588,0.000005426159,0.0007729438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04251018,"threshold_uncertainty_score":0.3084344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05985986577224909,"score_gpt":0.355662296390071,"score_spread":0.2958024306178219,"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."}}