{"id":"W4411337166","doi":"10.1109/tvt.2025.3579331","title":"Socially Game-Theoretic Lane-Change for Autonomous Heavy Vehicle Based on Asymmetric Driving Aggressiveness","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Game theory; Vehicle dynamics; Automotive engineering; Computer science; Simulation; Engineering; Transport engineering; Economics; Microeconomics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001238528,0.0002206804,0.0002559205,0.001356752,0.0001763763,0.00002295724,0.0002104633,0.0003839441,0.00002937403],"category_scores_gemma":[0.00001825802,0.0002481924,0.0001480718,0.001640167,0.000121708,0.00006190303,6.493636e-7,0.0004006333,0.00002166658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850922,"about_ca_system_score_gemma":0.0000867941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008574343,"about_ca_topic_score_gemma":0.0001046649,"domain_scores_codex":[0.9989102,0.00002161684,0.0003162056,0.0003035503,0.0001258084,0.0003226219],"domain_scores_gemma":[0.9992487,0.000158303,0.00004360164,0.0003911625,0.0001186551,0.00003950776],"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":[0.0001361826,0.0009422429,0.0004232119,0.0005087391,0.0003700503,0.00003125112,0.000266962,0.5838338,0.01111275,0.08462719,0.0001791072,0.3175685],"study_design_scores_gemma":[0.00501148,0.0007243429,0.004998065,0.0006628722,0.0004414656,0.000008084996,0.0002840588,0.5475956,0.4088109,0.0111821,0.01907786,0.001203235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1241287,0.00008147295,0.8698505,0.002513086,0.0007055164,0.0007987659,0.00008065643,0.001531309,0.0003100296],"genre_scores_gemma":[0.9969017,0.00002915315,0.001456462,0.0004250533,0.00002001786,0.001025927,0.00002154335,0.00004224112,0.00007789854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.872773,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043497095473014,"score_gpt":0.2443148251220562,"score_spread":0.233879854167326,"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."}}