{"id":"W160073687","doi":"","title":"IMPACTS OF VARIOUS TRAFFIC PARAMETERS ON TRANSIT SIGNAL PRIORITY EFFECTIVENESS","year":2004,"lang":"en","type":"article","venue":"The Journal of Public Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"VisSim; Headway; Transit (satellite); Bus priority; SIGNAL (programming language); Traffic volume; Transport engineering; Traffic simulation; Traffic signal; Volume (thermodynamics); Simulation software; Simulation; Real-time computing; Engineering; Software; Automotive engineering; Computer science; Microsimulation; Public transport; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002625807,0.0001049172,0.0002148628,0.0001807711,0.0002217062,0.00003116292,0.0002121301,0.00009359333,0.000023219],"category_scores_gemma":[0.00006695665,0.00007817613,0.0001353767,0.0004791611,0.0001700809,0.0004605787,2.72369e-7,0.0002232177,0.000001315588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009661636,"about_ca_system_score_gemma":0.0005122492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006316329,"about_ca_topic_score_gemma":0.00234609,"domain_scores_codex":[0.9981987,0.0003936458,0.0004868659,0.00008214791,0.0006417521,0.0001968716],"domain_scores_gemma":[0.9986222,0.0003503416,0.000472504,0.00007959072,0.0003503585,0.0001250194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006838758,0.0003737237,0.008947273,0.00006314101,0.0001264482,0.00001447751,0.07275616,0.8978413,0.001165668,0.009355105,0.000010696,0.008662182],"study_design_scores_gemma":[0.003416716,0.0009987531,0.9849561,0.0002850116,0.0003178307,0.000006961036,0.00461974,0.00007695062,0.003028728,0.00184245,0.0002276082,0.0002231307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462089,0.00007534023,0.05218143,0.001022702,0.0001864223,0.0001971748,0.00001582793,0.00002480083,0.00008742163],"genre_scores_gemma":[0.9990268,0.000114032,0.000737728,0.00004091402,0.00004750611,0.000001482173,0.00001825334,0.000009816347,0.000003479388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9760088,"threshold_uncertainty_score":0.318793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213659575231511,"score_gpt":0.2812630454707848,"score_spread":0.2591264497184697,"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."}}