{"id":"W2013304779","doi":"10.5539/cis.v4n4p72","title":"An Agent-Based Simulation Model for Urban Traffic System","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Traffic system; Traffic flow (computer networking); Traffic model; Population; Simulation; Distributed computing; Transport engineering; Computer security; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006066632,0.00004643728,0.00004897415,0.0001528704,0.000642512,0.0001712178,0.0001393774,0.00003137782,0.000002822702],"category_scores_gemma":[0.00001341423,0.00004480355,0.00001463096,0.0002628404,0.0001471745,0.004637906,0.000002828741,0.0000203858,0.000003488705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003125487,"about_ca_system_score_gemma":0.0001544977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001556741,"about_ca_topic_score_gemma":0.000005578499,"domain_scores_codex":[0.9993735,0.00001440371,0.0001699702,0.00009207202,0.0002210357,0.0001290462],"domain_scores_gemma":[0.9994661,0.00002450917,0.00008013787,0.00007358586,0.0002583081,0.00009731653],"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":[0.000008391494,0.000007212416,0.0002981584,0.00001255769,4.647399e-7,2.255395e-8,0.03710968,0.9344855,0.000001207943,0.01903999,0.00002815373,0.009008643],"study_design_scores_gemma":[0.0001770931,0.00003270216,0.003279603,0.000009729305,0.000003195921,6.816523e-8,0.0007336465,0.9950466,0.00001010965,0.00001384243,0.0006293397,0.00006404662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06205245,0.00000217901,0.9360168,0.00001773844,0.0001661181,0.00018821,0.000006883583,0.0001271176,0.001422496],"genre_scores_gemma":[0.9549136,0.000001056492,0.04483398,0.0001789451,0.00002970853,0.00000762961,0.00002561032,0.000001529561,0.000007983431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8928611,"threshold_uncertainty_score":0.4941748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04774825512470108,"score_gpt":0.2934642801428338,"score_spread":0.2457160250181327,"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."}}