{"id":"W4313563255","doi":"10.1109/vppc55846.2022.10003366","title":"Energy Regeneration of Active Suspension System in Fuel Cell Vehicles","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Vehicle Power and Propulsion Conference (VPPC)","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Innovation and Economic Development Trois Rivières","funders":"","keywords":"Regeneration (biology); Fuel cells; Automotive engineering; Active suspension; Suspension (topology); Energy (signal processing); Environmental science; Computer science; Engineering; Electrical engineering; Chemical engineering; Physics; Cell biology; Biology","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":[0.0002231442,0.0001979163,0.0003106232,0.0002865177,0.0001495196,0.0000265334,0.0002161331,0.00009782203,0.00009650819],"category_scores_gemma":[0.00000788372,0.0001977311,0.00004809492,0.0004794309,0.00005703828,0.0001544289,0.0001236332,0.0003723906,0.000002986831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137452,"about_ca_system_score_gemma":0.00004785932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002272082,"about_ca_topic_score_gemma":0.00007204201,"domain_scores_codex":[0.9986103,0.0001115001,0.0003596134,0.0003138038,0.000307291,0.0002975014],"domain_scores_gemma":[0.9994764,0.00005624762,0.00009323723,0.0002525476,0.00006630352,0.00005520337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003573942,0.0002342607,0.003209872,0.0005804703,0.00004652756,0.00009023638,0.001602996,0.005634817,0.8104009,0.007633392,0.00217093,0.1680382],"study_design_scores_gemma":[0.00142447,0.0006357644,0.003075178,0.00008551202,0.00002709475,0.00003649087,0.003654672,0.2094349,0.7769672,0.001504456,0.002585224,0.0005691031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942819,0.001957713,0.0005187409,0.000121514,0.0003084241,0.0002199785,0.00003739503,0.000285313,0.002269054],"genre_scores_gemma":[0.998783,0.0007601624,0.00009046537,0.00002278948,0.00001968708,0.00008824101,0.00002094129,0.00002821436,0.0001865121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2038001,"threshold_uncertainty_score":0.8063242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100677232918615,"score_gpt":0.1952821308639607,"score_spread":0.1852144075720992,"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."}}