{"id":"W6901699706","doi":"10.60692/tg6k7-0tr77","title":"Macroscopic flow characterization at T-junctions","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Flow (mathematics); Traffic flow (computer networking); Flow conditions; Traffic model; Characterization (materials science); Minor (academic); Microscopic traffic flow model","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008361463,0.00009120132,0.00009301649,0.0001413728,0.0002821877,0.00005903446,0.00007906048,0.000019728,0.0002171982],"category_scores_gemma":[7.083673e-7,0.00009219836,0.00003616743,0.0001481959,0.00000400916,0.0002649211,0.00006717576,0.00005574747,0.0005956026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002730413,"about_ca_system_score_gemma":0.000004516775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.706267e-7,"about_ca_topic_score_gemma":1.966937e-7,"domain_scores_codex":[0.9993538,0.00001600107,0.0002597205,0.0000603052,0.000170491,0.0001397028],"domain_scores_gemma":[0.9997279,9.884136e-7,0.00004885411,0.0001677433,0.00001934489,0.00003513719],"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":[0.00008353291,0.000005888686,0.01556721,0.001255006,0.0002554885,0.000008565647,0.1473414,0.8128799,0.0002780107,0.0007693516,0.005049984,0.0165056],"study_design_scores_gemma":[0.002155436,0.00005731952,0.1553939,0.00003523943,0.00006098378,0.00004992255,0.0100089,0.6378032,0.0001825922,3.761629e-7,0.1937716,0.0004805578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8645763,0.000003563463,0.1193042,0.00005620659,0.003896527,0.0005935915,0.0004007574,0.001798846,0.009369938],"genre_scores_gemma":[0.9984346,9.774892e-8,0.00004644879,0.00007204141,0.00004697445,0.0002709938,0.0001766741,0.000009280199,0.0009428817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1887216,"threshold_uncertainty_score":0.7655465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054107008491697,"score_gpt":0.157399561137405,"score_spread":0.146858491052488,"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."}}