{"id":"W2140093702","doi":"10.1115/1.4030631","title":"A Methodology for Optimal Design of a Vehicle Suspension System With Energy Regeneration Capability","year":2015,"lang":"en","type":"article","venue":"Journal of vibration and acoustics","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Suspension (topology); Energy (signal processing); Stiffness; Power (physics); Automotive engineering; Regenerative brake; Computer science; Control theory (sociology); Engineering; Control (management); Structural engineering","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":[0.000942691,0.001250378,0.0007513232,0.0007136073,0.0004698703,0.000697297,0.0007944487,0.0007197751,0.003511163],"category_scores_gemma":[0.001268368,0.000717737,0.0009094549,0.0003221676,0.0005127168,0.0004715181,0.000607476,0.0009410487,0.0007605383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005560242,"about_ca_system_score_gemma":0.001476479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001425455,"about_ca_topic_score_gemma":0.001884326,"domain_scores_codex":[0.9996492,0.00007837031,0.00002365397,0.00006203186,0.0001600779,0.00002682922],"domain_scores_gemma":[0.9996985,0.0001267616,0.00005227243,0.00002051501,0.00009338087,0.000008530083],"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":[0.00002664232,0.00005554347,0.0002085133,0.0004809175,0.00005688267,0.0001086537,0.0001132614,0.8567635,0.03298702,0.03512726,0.00088981,0.07318189],"study_design_scores_gemma":[0.00002314037,0.0001873715,0.00013996,0.00005687339,0.00003396532,0.00007106504,0.00002200378,0.9773132,0.006415537,0.007208495,0.008508135,0.00002029309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008918379,0.00007531465,0.997255,0.00002094996,0.000009930841,0.00005259656,0.00001288528,0.00008456467,0.001596841],"genre_scores_gemma":[0.1897219,0.0005533056,0.8052781,0.00006448358,0.00003951758,0.0009126953,0.0001006662,0.0001459398,0.00318333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003511163,"threshold_uncertainty_score":0.01174599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05517807927070296,"score_gpt":0.251080251526386,"score_spread":0.1959021722556831,"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."}}