{"id":"W835864035","doi":"10.1177/1077546315585219","title":"Multi-objective optimization of a hybrid electromagnetic suspension system for ride comfort, road holding and regenerated power","year":2015,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Suspension (topology); Damper; Power (physics); Multi-objective optimization; Engineering; Automotive engineering; Active suspension; Component (thermodynamics); Control theory (sociology); Computer science; Control engineering; Electrical engineering; Actuator; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007894509,0.0006880711,0.0005930049,0.0006095329,0.0002705145,0.0006652714,0.0003933854,0.000673503,0.001093663],"category_scores_gemma":[0.0006332331,0.0003036646,0.0006129318,0.000311455,0.0002824547,0.0002678209,0.0004220526,0.0002891746,0.0001324997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004908719,"about_ca_system_score_gemma":0.0005330708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002534405,"about_ca_topic_score_gemma":0.002116768,"domain_scores_codex":[0.9997461,0.00009751182,0.00001189793,0.00003790557,0.00006345385,0.00004317136],"domain_scores_gemma":[0.9997032,0.0001625006,0.00004190434,0.00001274231,0.00006140723,0.00001815469],"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":[0.00005477498,0.00004431124,0.0002699108,0.00004416632,0.00002705307,0.00003365791,0.00001217618,0.9891359,0.003902021,0.0003247451,0.00006930052,0.006082062],"study_design_scores_gemma":[0.00001015377,0.0001282343,0.0002946884,0.000002919513,0.00001178414,0.000006052763,0.000009968238,0.9982173,0.001065399,0.00009604256,0.0001541032,0.000003272263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5200658,0.0004435161,0.4711899,0.000134591,0.0000371434,0.0001356742,0.0001087661,0.0002231572,0.007661357],"genre_scores_gemma":[0.9694546,0.0000731749,0.02803393,0.00001864755,0.000006144859,0.00009305502,0.00006145865,0.00001472117,0.002244346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002534405,"threshold_uncertainty_score":0.005039275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057427896124004,"score_gpt":0.2097494750101655,"score_spread":0.1991751960489254,"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."}}