{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001925944,0.0008096113,0.000451179,0.001176169,0.0004853071,0.001431092,0.0006471617,0.0006883804,0.002000936],"category_scores_gemma":[0.01650455,0.0002738065,0.0002349453,0.0008253236,0.0004372673,0.001111988,0.0004958353,0.0006147666,0.0002850977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009015017,"about_ca_system_score_gemma":0.0007463763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006123318,"about_ca_topic_score_gemma":0.006101253,"domain_scores_codex":[0.9977456,0.0008649565,0.0001759095,0.0002154142,0.0006790727,0.0003191165],"domain_scores_gemma":[0.9876961,0.008106938,0.001126715,0.0003966018,0.002213115,0.0004604976],"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":[0.005553466,0.002295772,0.1536631,0.001255078,0.0005484254,0.001722617,0.001135348,0.4812675,0.1840009,0.001953062,0.001543191,0.1650616],"study_design_scores_gemma":[0.000455957,0.01216482,0.2330541,0.0001190209,0.001216574,0.002405406,0.00548943,0.4881172,0.2477418,0.001972452,0.006984151,0.0002792418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946228,0.0001386635,0.002970757,0.00004400666,0.00001244412,0.00004620919,0.00006691828,0.0001423779,0.001955803],"genre_scores_gemma":[0.9984794,0.0000708281,0.001054225,0.00001068499,0.000004238644,0.00001048816,0.00009087746,0.00002223326,0.0002569598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006123318,"threshold_uncertainty_score":0.01217532,"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."}}