{"id":"W3013353295","doi":"10.1145/3355611","title":"Transit Signal Priority Along a Signalized Arterial","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Spatial Algorithms and Systems","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"VisSim; Bus priority; Schedule; Computer science; Transport engineering; Transit (satellite); Queueing theory; Travel time; Truncation (statistics); Operations research; Real-time computing; Simulation; Microsimulation; Public transport; Computer network; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003565736,0.0002777062,0.0002857203,0.0005271896,0.0005977924,0.001407643,0.0006468327,0.0004065022,0.003208967],"category_scores_gemma":[0.001279755,0.0002660805,0.0002461568,0.0005710166,0.0003998013,0.0006918379,0.0005553841,0.0004565445,0.000487304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138248,"about_ca_system_score_gemma":0.001624615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069224,"about_ca_topic_score_gemma":0.01370032,"domain_scores_codex":[0.9995229,0.00009599491,0.0000201204,0.0001171727,0.0001047778,0.0001390028],"domain_scores_gemma":[0.9993564,0.0001528228,0.0000916136,0.00003571422,0.0002722718,0.00009113659],"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":[0.0007959857,0.0002774497,0.01324807,0.0001351321,0.0000516303,0.0007224705,0.0002835176,0.8155428,0.0397079,0.03770106,0.002333977,0.08919997],"study_design_scores_gemma":[0.00004198341,0.0003592095,0.003532024,0.00001281394,0.00004102002,0.0001502611,0.0002025433,0.9779459,0.008763921,0.004915904,0.004010199,0.0000240948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6767281,0.0001665914,0.3026205,0.000255712,0.00009754972,0.0001191479,0.0002460637,0.0007409675,0.01902538],"genre_scores_gemma":[0.9717157,0.00008599354,0.0236101,0.0000153544,0.00001406398,0.00001169429,0.00009605457,0.00002411913,0.00442702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01069224,"threshold_uncertainty_score":0.02126002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378433976602814,"score_gpt":0.2746628317689394,"score_spread":0.2408784920029112,"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."}}