{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008407151,0.00008011716,0.0002337668,0.00005738736,0.0004400856,0.00008587012,0.0004958218,0.00003081124,0.0001163663],"category_scores_gemma":[0.00002213764,0.00005575068,0.00007346064,0.0002389924,0.0001088316,0.0007921583,0.00002859854,0.0002625186,1.238405e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007002448,"about_ca_system_score_gemma":0.0005933879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6865051,"about_ca_topic_score_gemma":0.89419,"domain_scores_codex":[0.9986959,0.0001036204,0.0004790627,0.0001106341,0.0004220357,0.0001887704],"domain_scores_gemma":[0.9991714,0.0001755864,0.0003266063,0.0001336044,0.00009732995,0.00009544574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003745253,0.00009245437,0.9950339,0.00001549389,0.00001581703,0.00002314569,0.002982396,0.0002236306,0.0001044077,0.00003771346,0.0003030322,0.001130537],"study_design_scores_gemma":[0.0003375267,0.00001489769,0.9891126,0.00002448619,0.00004359988,0.000001752524,0.001654572,0.000006451471,0.0000351346,0.0004974209,0.008201993,0.00006952023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970721,0.0006478237,0.00007755037,0.001401499,0.0001445181,0.0001157703,0.00007614563,0.00000368486,0.0004609341],"genre_scores_gemma":[0.9995228,0.0001830718,0.00003012749,0.00009238239,0.00006980254,0.000006167886,0.000006228954,0.000004804895,0.00008461297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2076849,"threshold_uncertainty_score":0.3384827,"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."}}