{"id":"W4319312724","doi":"10.1155/2023/1512346","title":"Space-Time Resource Integrated Optimization Method for Time-of-Day Division at Intersection Based on Multidimensional Traffic Flows","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University Natural Science Research Project of Anhui Province; Natural Science Foundation of Anhui Province; Hefei University","keywords":"Intersection (aeronautics); Division (mathematics); VisSim; Traffic flow (computer networking); Computer science; Flow (mathematics); Real-time computing; Mathematical optimization; Algorithm; Mathematics; Engineering; Transport engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006044069,0.0009713813,0.0009606421,0.0007717384,0.0005291246,0.000924231,0.0008746497,0.0005105856,0.001794032],"category_scores_gemma":[0.0009519387,0.000462791,0.0008712926,0.0007626714,0.0003543519,0.001030234,0.0008594274,0.0006978655,0.000219358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008693297,"about_ca_system_score_gemma":0.001966114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01663483,"about_ca_topic_score_gemma":0.0105224,"domain_scores_codex":[0.9994113,0.0001136242,0.00003303506,0.0001326373,0.000215245,0.00009414097],"domain_scores_gemma":[0.9997154,0.00008951429,0.00003623664,0.00002014002,0.0001168004,0.00002196569],"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":[0.0000529267,0.00003367096,0.000969251,0.00005720329,0.00003639476,0.00003660962,0.00006226674,0.9477575,0.002600979,0.003138497,0.0006383418,0.0446163],"study_design_scores_gemma":[0.000005088574,0.00001551395,0.0001533114,0.00000212282,0.000006212299,0.000007025722,0.0000126857,0.9985247,0.0004151997,0.0005062267,0.0003469317,0.000004981869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.020924,0.0002002176,0.9766039,0.00004997584,0.00002619834,0.00003836559,0.00004084358,0.0002263427,0.001890123],"genre_scores_gemma":[0.6817719,0.0003589251,0.3133099,0.00007395504,0.00003292952,0.0003035747,0.0003130422,0.0001569175,0.003678933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01663483,"threshold_uncertainty_score":0.03307599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005488934153844429,"score_gpt":0.2256840724265785,"score_spread":0.220195138272734,"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."}}