{"id":"W4387445042","doi":"10.1155/2023/9948462","title":"Eco-Speed Harmonization with Partially Connected and Automated Traffic at an Isolated Intersection","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Intersection (aeronautics); Throughput; Reduction (mathematics); Harmonization; Computer science; Penetration rate; Real-time computing; Market penetration; Automotive engineering; Transport engineering; Simulation; Engineering; Telecommunications; Electrical engineering; Mathematics","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":[0.0004605525,0.0009517822,0.0007914656,0.001287016,0.0006160268,0.0008562701,0.001352112,0.0005758733,0.002234422],"category_scores_gemma":[0.0007917706,0.0003117473,0.0006386988,0.0008506941,0.0004694128,0.0009831997,0.001084416,0.000474838,0.0005486858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005210969,"about_ca_system_score_gemma":0.0008937036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545228,"about_ca_topic_score_gemma":0.002553109,"domain_scores_codex":[0.9993113,0.0001080607,0.00002615804,0.0001945315,0.0002192451,0.0001406495],"domain_scores_gemma":[0.9996123,0.00005991844,0.00006437321,0.00006820598,0.000159566,0.00003578323],"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":[0.00033408,0.0003530026,0.004457392,0.0001841697,0.0001082236,0.0002508681,0.0002045291,0.5859066,0.04525632,0.01091467,0.002487215,0.3495429],"study_design_scores_gemma":[0.00003118125,0.0003043706,0.002484737,0.00001502457,0.00006685395,0.0001285284,0.0001588515,0.9672542,0.01829225,0.003729086,0.007488016,0.00004688518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08801973,0.0001841137,0.8996809,0.00008357428,0.00008689041,0.000126017,0.00008322178,0.001290424,0.01044505],"genre_scores_gemma":[0.9229076,0.00009624214,0.07228541,0.00005700326,0.00003822265,0.0001094593,0.0001294383,0.00008773508,0.004288991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002545228,"threshold_uncertainty_score":0.007474899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007403227148569849,"score_gpt":0.2249334130960465,"score_spread":0.2175301859474766,"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."}}