{"id":"W3205647051","doi":"10.1155/2021/2688788","title":"Evaluation and Analysis Model of the Length of Added Displaced Left-Turn Lane Based on Entropy Evaluation Method","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Education Department of Shaanxi Province","keywords":"VisSim; Intersection (aeronautics); Entropy (arrow of time); Transport engineering; Computer science; Traffic simulation; Software; Traffic volume; Process (computing); Simulation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002129968,0.001023362,0.0005769737,0.001823773,0.0005458989,0.001763007,0.0009827769,0.0008576694,0.003164088],"category_scores_gemma":[0.00314883,0.0004196217,0.001292992,0.000882004,0.0007027264,0.001580583,0.000994574,0.0005668152,0.000231431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00223268,"about_ca_system_score_gemma":0.001994047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01234823,"about_ca_topic_score_gemma":0.005233504,"domain_scores_codex":[0.9982184,0.000518834,0.00009633906,0.0002934475,0.0006709666,0.0002019235],"domain_scores_gemma":[0.9985508,0.0005988334,0.0001618037,0.00006137874,0.0005691358,0.00005809211],"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":[0.00005961011,0.00004182221,0.003099138,0.00009125336,0.00002206473,0.00007894798,0.00009864752,0.9726006,0.002132239,0.005888996,0.0003463473,0.01554029],"study_design_scores_gemma":[0.000004688557,0.00004358614,0.000581213,0.000008218799,0.00001559025,0.00001315949,0.00002614938,0.9972897,0.0007728119,0.0009774686,0.0002573387,0.00001023997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1349245,0.0003790319,0.8511364,0.0002299431,0.00004696728,0.0002197701,0.0002100821,0.000311173,0.01254209],"genre_scores_gemma":[0.9692307,0.0003265687,0.02588961,0.00002252571,0.00001452458,0.0002519133,0.0001675672,0.00002989091,0.004066716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01234823,"threshold_uncertainty_score":0.0245527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247558870659189,"score_gpt":0.2722465605179357,"score_spread":0.2597709718113438,"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."}}