{"id":"W2261053775","doi":"10.3141/2539-09","title":"Trade-Offs Between Bus and Private Vehicle Delays at Signalized Intersections: Case Study of a Multiobjective Model","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"VisSim; Bus priority; Sorting; Multi-objective optimization; Mathematical optimization; Computer science; Pareto principle; Minification; Set (abstract data type); Genetic algorithm; Engineering; Transport engineering; Simulation; Operations research; Microsimulation; Public transport; Mathematics","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":[0.0009532016,0.001126115,0.0009297219,0.0009122512,0.0009675417,0.001470134,0.001467169,0.002729263,0.00276793],"category_scores_gemma":[0.001489268,0.0005573072,0.001483225,0.0009550851,0.0008461084,0.0006777873,0.0009226376,0.001245439,0.0001548248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891869,"about_ca_system_score_gemma":0.001133419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03262266,"about_ca_topic_score_gemma":0.02455243,"domain_scores_codex":[0.9997185,0.000116935,0.000008673266,0.00003620491,0.00003037102,0.00008931078],"domain_scores_gemma":[0.998413,0.001136453,0.0001335825,0.00004007911,0.0001248128,0.000152083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004903724,0.00007325631,0.0007588972,0.00001725649,0.00001743754,0.0001669561,0.00001853984,0.9970359,0.0002740331,0.0009895535,0.00008742525,0.0005117486],"study_design_scores_gemma":[0.00002217903,0.00005980137,0.0003525975,0.000003532053,0.00001740551,0.00001235034,0.000049018,0.9989684,0.0001355572,0.0002941156,0.0000791482,0.000005892454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515526,0.0002388594,0.03508565,0.0003598582,0.00002480612,0.0001046269,0.0004188257,0.00007042546,0.01214439],"genre_scores_gemma":[0.9905109,0.0001212204,0.006314557,0.00002722471,0.000008810569,0.00006644687,0.0001046012,0.00001142772,0.002834753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03262266,"threshold_uncertainty_score":0.06486559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1165428580458441,"score_gpt":0.4075570722588602,"score_spread":0.2910142142130162,"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."}}