{"id":"W4210626603","doi":"10.5198/jtlu.2022.1879","title":"Whose express access? Assessing the equity implications of bus express routes in Montreal, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Temple University; Natural Sciences and Engineering Research Council of Canada; University of South Florida","keywords":"Equity (law); Transport engineering; Bus rapid transit; Public transport; Business; Planner; Level of service; Population; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001313495,0.0003078722,0.0002971361,0.001075782,0.002109647,0.00242803,0.001235076,0.0003854085,0.003469306],"category_scores_gemma":[0.005418649,0.0001549466,0.0003717055,0.00296398,0.001420735,0.0009530249,0.00114608,0.0006635199,0.0001065305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06019465,"about_ca_system_score_gemma":0.02690956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970481,"about_ca_topic_score_gemma":0.9985862,"domain_scores_codex":[0.9985675,0.0002897668,0.00003098909,0.0001526946,0.0003693413,0.0005897801],"domain_scores_gemma":[0.9973955,0.0004430854,0.0003386149,0.00009084654,0.001300689,0.0004312593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002556086,0.0001709743,0.8957301,0.0001208007,0.0002218966,0.0004249388,0.003333628,0.02434907,0.0006162527,0.0252422,0.01141277,0.03812174],"study_design_scores_gemma":[0.0000276381,0.00008983278,0.9538115,0.0001303365,0.0001246205,0.00005355184,0.0117398,0.01823664,0.0004383811,0.001829364,0.01345246,0.00006577642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699294,0.0008658416,0.0007590515,0.003089442,0.00002154933,0.00009713807,0.004206825,0.00001584092,0.02101501],"genre_scores_gemma":[0.9977423,0.0002288158,0.0002528561,0.00007768571,0.000004500434,0.00001314552,0.0005181547,0.000004229315,0.001158374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06019465,"threshold_uncertainty_score":0.4367448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05184558626730539,"score_gpt":0.3425359504910504,"score_spread":0.290690364223745,"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."}}