{"id":"W2789620195","doi":"","title":"Simulation-Based Dynamic Traffic and Transit Assignment Model for the Greater Toronto Area","year":2018,"lang":"en","type":"article","venue":"Transportation Research Board 97th Annual MeetingTransportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Transport engineering; Computer science; Transit (satellite); Public transport; Simulation; Engineering","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007972337,0.0004139592,0.0004257929,0.0005495479,0.004738948,0.0003927941,0.0006781899,0.0004240141,0.0004337611],"category_scores_gemma":[0.0006809731,0.0003676802,0.0002307003,0.00127424,0.002366613,0.0009912497,0.000004573483,0.0007660626,0.00002090279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004051383,"about_ca_system_score_gemma":0.001128253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01056167,"about_ca_topic_score_gemma":0.2049694,"domain_scores_codex":[0.9914892,0.0009158195,0.001047959,0.001130509,0.003714395,0.001702115],"domain_scores_gemma":[0.9884289,0.005087034,0.0002041798,0.0005060983,0.005112489,0.0006613258],"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":[0.001521791,0.0001766694,0.005146295,0.0001583699,0.00009645311,0.000009835307,0.09289503,0.8895088,0.0001317838,0.003056357,0.001028987,0.006269644],"study_design_scores_gemma":[0.002273734,0.0006080575,0.06216602,0.0001778594,0.000120085,5.007595e-8,0.02414512,0.8922113,0.00009228901,0.0005752834,0.01708409,0.0005460752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4966198,0.0006693194,0.4834143,0.009575077,0.0003652119,0.006546313,0.001267538,0.0005779152,0.0009645509],"genre_scores_gemma":[0.9902512,0.0003491529,0.005460376,0.0002184821,0.0002433733,0.001005839,0.0005562161,0.00009744578,0.00181786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4936315,"threshold_uncertainty_score":0.9998775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08442528802970198,"score_gpt":0.409827862524938,"score_spread":0.325402574495236,"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."}}