{"id":"W4254189127","doi":"10.32920/ryerson.14644503","title":"BRT omnibus : how bus rapid transit enhances mobility","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bus rapid transit; Popularity; Flexibility (engineering); Transit (satellite); Mode (computer interface); Transport engineering; Computer science; Public transport; Business; Engineering; Economics; Political science","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":[0.00134575,0.0002379888,0.00008734319,0.000599551,0.0007837386,0.003063552,0.0004441204,0.0004699805,0.01282351],"category_scores_gemma":[0.003186171,0.0001342803,0.0002462357,0.0007795012,0.001006752,0.00288996,0.001614018,0.0003856744,0.001082127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604746,"about_ca_system_score_gemma":0.001808128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00640746,"about_ca_topic_score_gemma":0.0167243,"domain_scores_codex":[0.9993345,0.0003984119,0.00001518287,0.00005826998,0.0001118569,0.00008175986],"domain_scores_gemma":[0.9991739,0.0003877722,0.00008981323,0.0000606573,0.0001657939,0.0001219927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004589946,0.000356609,0.02177969,0.001178476,0.00007306817,0.001188822,0.01038309,0.01579357,0.008343382,0.6064178,0.0449066,0.2891199],"study_design_scores_gemma":[0.0001512738,0.0008118696,0.02420279,0.0007082706,0.0002337837,0.0009181545,0.02431645,0.03579758,0.009602831,0.135697,0.7674671,0.00009277296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3345959,0.001949042,0.02866831,0.01763953,0.0004329567,0.0001729572,0.0006100797,0.000524753,0.6154065],"genre_scores_gemma":[0.9479889,0.001802613,0.0146059,0.0004315871,0.00005804856,0.0000553151,0.0001910699,0.0001038755,0.0347626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01282351,"threshold_uncertainty_score":0.04289895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186146257470153,"score_gpt":0.1882645006783246,"score_spread":0.176403038103623,"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."}}