{"id":"W4306168960","doi":"10.1016/j.apm.2022.10.014","title":"Koopman operator-based driver-vehicle dynamic model for shared control systems","year":2022,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Vehicle dynamics; Advanced driver assistance systems; Automation; Controller (irrigation); Operator (biology); Computer science; Fidelity; Control engineering; High fidelity; Simulation; Control theory (sociology); Control (management); Engineering; Automotive engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002289469,0.0002223766,0.0003632706,0.00005194462,0.000491856,0.00008905681,0.0002424626,0.00004110481,0.0003565459],"category_scores_gemma":[0.000001099986,0.0002162625,0.00015759,0.0001044536,0.00003181239,0.00006231731,0.00005459888,0.0002640561,0.00002236462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006080516,"about_ca_system_score_gemma":0.0000545576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004428701,"about_ca_topic_score_gemma":7.187039e-8,"domain_scores_codex":[0.9985058,0.00002904059,0.0004011164,0.0003937294,0.000275611,0.0003947484],"domain_scores_gemma":[0.9992666,0.0001462006,0.0001109913,0.0002936411,0.00004593395,0.0001366329],"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":[0.00004848329,0.0001303581,0.000001363992,0.00003650674,0.000028108,1.945949e-7,0.00009266755,0.7536538,0.0008483407,0.2447432,0.0001787987,0.0002382218],"study_design_scores_gemma":[0.00120285,0.00002328524,5.266973e-8,0.00001279201,0.00004740627,4.521924e-7,0.0001775762,0.9347746,0.00008151424,0.06330501,0.0001409409,0.0002334756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02914467,0.00002276261,0.967374,0.0001270989,0.00008502476,0.001153144,0.0001350029,0.00009750255,0.00186085],"genre_scores_gemma":[0.986108,3.89557e-7,0.01117625,0.0001425954,0.0001000791,0.001795618,0.00008410834,0.00005789548,0.0005350331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9569634,"threshold_uncertainty_score":0.8818929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504118777483375,"score_gpt":0.2440565480175461,"score_spread":0.2190153602427124,"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."}}