{"id":"W4321480787","doi":"10.1139/cjce-2022-0098","title":"Modeling the performance of restricted crossing U-turn intersections including the effects of connected and autonomous vehicles: a case study in California","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Microsimulation; Transport engineering; Level crossing; Geometric design; Market penetration; Planner; Computer science; Engineering; Operations research; Simulation; Artificial intelligence","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":[0.0003065517,0.0001012796,0.0001916062,0.0004481769,0.0001096754,0.0000409736,0.0001250978,0.00002816992,0.00000125444],"category_scores_gemma":[0.0001351717,0.00007457467,0.00003895033,0.0005357226,0.00003021624,0.0000808157,0.00002064828,0.0002622604,1.67875e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038396,"about_ca_system_score_gemma":0.00009505789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003175752,"about_ca_topic_score_gemma":0.1259048,"domain_scores_codex":[0.9992608,0.0000218023,0.0003684087,0.0000583908,0.00008345603,0.0002071726],"domain_scores_gemma":[0.99952,0.0001812038,0.00005315644,0.0001075338,0.00004798087,0.00009011608],"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":[0.000003151902,0.00000427883,0.001800812,0.0001611042,0.0000747918,0.0003479284,0.00580328,0.9895685,0.001051697,0.000005804191,0.00001279013,0.001165809],"study_design_scores_gemma":[0.0005361137,0.00007769066,0.01225937,0.0002975519,0.0000454808,0.0002353765,0.00287974,0.9834827,0.00005799281,0.000002059192,0.00005167066,0.00007431343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976088,0.0006362316,0.001190969,0.00003027618,0.0002979404,0.0001910936,0.000003485066,0.00002889975,0.00001231434],"genre_scores_gemma":[0.9998924,0.0000301073,0.00001330964,0.000003239066,0.00003448222,0.000007017846,2.321589e-7,0.00001736142,0.000001921736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1227291,"threshold_uncertainty_score":0.8900451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034016075130897,"score_gpt":0.2009263617870523,"score_spread":0.1905862010357433,"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."}}