{"id":"W2008025505","doi":"10.3141/2265-27","title":"Comparison of Macroscopic and Microscopic Simulation Models in Modern Roundabout Analysis","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic control and management","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"VisSim; Roundabout; Queue; Traffic simulation; Traffic flow (computer networking); Intersection (aeronautics); Simulation software; Software; Queueing theory; Sensitivity (control systems); Simulation; Transport engineering; Microsimulation; Computer science; Engineering; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00165096,0.0001658121,0.0005299648,0.001436071,0.0001289167,0.00004629204,0.000445268,0.0001150831,0.00006667828],"category_scores_gemma":[0.00002183822,0.0001368545,0.0002077511,0.001914767,0.0002512417,0.0004673227,0.00000497301,0.0009111137,0.000001265429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158895,"about_ca_system_score_gemma":0.00009090067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004092231,"about_ca_topic_score_gemma":0.0623967,"domain_scores_codex":[0.9964061,0.000322829,0.00123159,0.0002247846,0.001336801,0.0004778983],"domain_scores_gemma":[0.9982445,0.0003178037,0.0001951861,0.0002790197,0.0008098152,0.0001536926],"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":[0.0003502887,0.0001569822,0.3256786,0.0002693086,0.0003131293,0.00001204224,0.008283875,0.6530791,0.001891099,0.0006815981,0.0000466483,0.009237369],"study_design_scores_gemma":[0.0009906156,0.0001740724,0.8442541,0.0001247805,0.0001298124,2.888248e-8,0.00127609,0.1496593,0.0005771371,0.002593154,0.000118674,0.0001022519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698708,0.0006533273,0.02851314,0.00008394474,0.0001434574,0.0005362526,0.00002234693,0.00002190374,0.0001548284],"genre_scores_gemma":[0.9978637,0.0005225033,0.001459172,0.000004471134,0.00002128746,0.00002570199,0.000007076577,0.00002649658,0.00006959385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5185755,"threshold_uncertainty_score":0.9547121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180005537555914,"score_gpt":0.3866297373580724,"score_spread":0.268629183602481,"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."}}