{"id":"W2607735099","doi":"10.1080/00423114.2017.1308521","title":"A driver-adaptive stability control strategy for sport utility vehicles","year":2017,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Controller (irrigation); Yaw; Driving simulator; Engineering; Control theory (sociology); Vehicle dynamics; Stability (learning theory); Adaptive control; Control engineering; Nonlinear system; Advanced driver assistance systems; Sliding mode control; Simulation; Electronic stability control; Control (management); Automotive engineering; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001905535,0.0004227542,0.0002397541,0.0002334119,0.000298868,0.000330439,0.000525647,0.0002560174,0.001087172],"category_scores_gemma":[0.0002626797,0.000137232,0.0002227685,0.0001066841,0.0002167585,0.000221839,0.0004899316,0.0002322141,0.0001856257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002884496,"about_ca_system_score_gemma":0.0004034004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005486225,"about_ca_topic_score_gemma":0.003578501,"domain_scores_codex":[0.9999022,0.00001797804,0.000006040535,0.00002912371,0.00002878274,0.0000158375],"domain_scores_gemma":[0.9998864,0.00001724017,0.00002519045,0.000006322013,0.00005355916,0.00001132723],"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":[0.0004726433,0.0001812139,0.003291349,0.0003631379,0.0001039677,0.0004704797,0.0005852206,0.6037472,0.09158992,0.01593513,0.002607474,0.2806523],"study_design_scores_gemma":[0.00002662089,0.0003036995,0.0007725682,0.00000873263,0.00001860346,0.00004184637,0.00004707718,0.9923611,0.003491044,0.001143353,0.001774111,0.00001128071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1249551,0.0003091103,0.866159,0.0001472943,0.00007168981,0.00007054216,0.00002536732,0.0004390049,0.007822803],"genre_scores_gemma":[0.9919426,0.00007029955,0.006186381,0.00001814656,0.00001016647,0.00003633103,0.00001771501,0.000005352601,0.001713042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005486225,"threshold_uncertainty_score":0.01090854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649212631678254,"score_gpt":0.2202965670102127,"score_spread":0.2038044406934302,"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."}}