{"id":"W3012377780","doi":"10.1155/2020/8467152","title":"A Novel Methodology for Estimating the Capacity and Level of Service for the New Mega Elliptical Roundabout Intersection","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council; Ministry of Education, India; Ministry of Education of the People's Republic of China","keywords":"Roundabout; VisSim; Intersection (aeronautics); Transport engineering; Level of service; Mega-; Geometric design; Truck; Traffic flow (computer networking); Service (business); Highway Capacity Manual; Engineering; Computer science; Automotive engineering","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":[0.0002232615,0.00005924623,0.0001375182,0.00001757439,0.00003682809,0.000008316462,0.00006190411,0.00002161921,0.000001199993],"category_scores_gemma":[0.00006673425,0.00003731583,0.00006324661,0.00006075295,0.00001237043,0.0001198139,9.321133e-7,0.00008359809,2.934029e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000121794,"about_ca_system_score_gemma":0.00001214364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001275978,"about_ca_topic_score_gemma":0.0003325626,"domain_scores_codex":[0.9995293,0.000007570183,0.0002805693,0.00004925403,0.00006493604,0.0000683394],"domain_scores_gemma":[0.9993272,0.0003974136,0.0001181012,0.00003336083,0.00009398996,0.00002992753],"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":[0.0002317627,0.000006056722,0.000003213831,0.000172909,0.00009625111,1.140974e-7,0.004566811,0.9116917,0.03095592,0.001290906,0.00003406236,0.05095025],"study_design_scores_gemma":[0.006592684,0.0006777428,0.03643104,0.0001350063,0.0009340978,0.00001542349,0.004735889,0.9346704,0.004264211,0.003872735,0.007469194,0.0002015552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06704517,0.0001142066,0.9287245,0.003518621,0.0003219077,0.0002486052,0.00001461973,0.00001045749,0.000001971464],"genre_scores_gemma":[0.6784287,0.0000113036,0.3212655,0.0001386111,0.0001371519,0.000007923772,0.00000169435,0.000006871405,0.000002221165],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6113836,"threshold_uncertainty_score":0.1521695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1171302749110583,"score_gpt":0.2974866288436958,"score_spread":0.1803563539326375,"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."}}