{"id":"W2098696022","doi":"10.3141/2312-04","title":"Empirical Estimation of Capacity for Roundabouts Using Adjusted Gap-Acceptance Parameters for Trucks","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic control and management","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Cochrane","funders":"","keywords":"Truck; Headway; Traffic volume; Transport engineering; Highway Capacity Manual; Traffic flow (computer networking); Engineering; Automotive engineering; Computer science; Level of service","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004525243,0.0008100565,0.0007142268,0.001413561,0.0002496975,0.00150363,0.001779919,0.0008331085,0.001409405],"category_scores_gemma":[0.03120925,0.0007518428,0.001056758,0.001202322,0.0009125115,0.002447167,0.001259692,0.001076537,0.0002454224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717131,"about_ca_system_score_gemma":0.001593461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.031909,"about_ca_topic_score_gemma":0.02112054,"domain_scores_codex":[0.9974075,0.000839536,0.0001218325,0.0007123568,0.0004996529,0.0004191218],"domain_scores_gemma":[0.9784742,0.0145268,0.002740818,0.00171775,0.00205266,0.0004878241],"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":[0.0002815168,0.0001072218,0.222973,0.00008729538,0.000247345,0.0002193057,0.0006405273,0.7560365,0.001775896,0.003865094,0.0003504496,0.01341587],"study_design_scores_gemma":[0.00002310284,0.0002299768,0.1906657,0.00005155069,0.00008848252,0.00014785,0.0008288674,0.7992436,0.003044536,0.004346479,0.001203686,0.0001261153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642221,0.0001045325,0.03445345,0.00004486093,0.000005275673,0.00004029631,0.0003469692,0.00009716102,0.0006852594],"genre_scores_gemma":[0.9970401,0.00002482884,0.00240749,0.000003937822,0.000001333383,0.00001706893,0.0003387119,0.00001559557,0.0001509354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.031909,"threshold_uncertainty_score":0.06344652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2007843426797107,"score_gpt":0.3983109021075378,"score_spread":0.1975265594278272,"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."}}