{"id":"W3083989997","doi":"10.1155/2020/1496756","title":"Modeling the Traffic Flow of the Urban Signalized Intersection with a Straddling Work Zone","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Key Research and Development Program of Sichuan Province","keywords":"Intersection (aeronautics); Traffic flow (computer networking); Work (physics); Work zone; Transport engineering; Flow (mathematics); Computer science; Boundary (topology); Enhanced Data Rates for GSM Evolution; Geology; Simulation; Engineering; Telecommunications; Mathematics; Geometry; 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":[0.00007845695,0.00008434035,0.0001449698,0.00002914962,0.00003600477,0.000009126667,0.0001058493,0.00001895157,0.000005364482],"category_scores_gemma":[0.000003979576,0.00004782126,0.0001014857,0.000219563,0.00001300186,0.0001496004,8.218977e-7,0.0001802013,1.776749e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002063699,"about_ca_system_score_gemma":0.00001298921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001239324,"about_ca_topic_score_gemma":0.00005571756,"domain_scores_codex":[0.9993127,0.00001319763,0.0003416561,0.00005587339,0.0001953839,0.00008117615],"domain_scores_gemma":[0.9997157,0.00001871716,0.0001133294,0.00005921739,0.00006162025,0.00003144682],"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":[0.0003840935,0.0000108631,0.00001818116,0.00004222025,0.00008539967,0.00000285926,0.00555173,0.9758002,0.002431105,0.00001960077,0.00001231824,0.01564143],"study_design_scores_gemma":[0.003547345,0.0003245274,0.01102346,0.000439924,0.0003944882,0.000004720363,0.005386799,0.9774004,0.0006686741,0.0000358488,0.0005893606,0.0001844684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7428503,0.0002406487,0.2562683,0.0003075915,0.0001729179,0.0001229406,0.000001621182,0.00002617906,0.000009454399],"genre_scores_gemma":[0.9975909,0.00003819678,0.002228543,0.00003388914,0.00008724553,0.000003101296,0.000001637727,0.00001371961,0.000002742496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2547406,"threshold_uncertainty_score":0.1950095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007048032399464966,"score_gpt":0.1787549866600472,"score_spread":0.1717069542605822,"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."}}