{"id":"W4413682566","doi":"10.1016/j.fub.2025.100103","title":"Advanced regenerative braking system for EVs: Leveraging BLDC‑supercapacitor technologies for optimized energy recovery, economic viability, and maintenance strategies","year":2025,"lang":"en","type":"article","venue":"Future Batteries","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Regenerative brake; Supercapacitor; Automotive engineering; Computer science; Engineering; Chemistry; Brake","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001301094,0.000318261,0.0004804626,0.000197623,0.0002574138,0.0001902525,0.0002676251,0.0002150622,0.000001819994],"category_scores_gemma":[0.00005356693,0.0002949711,0.0000962691,0.0001230232,0.0001469732,0.0004555665,0.00008013806,0.0001444312,4.792118e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002843251,"about_ca_system_score_gemma":0.00006007614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001156832,"about_ca_topic_score_gemma":0.00004953755,"domain_scores_codex":[0.9987637,0.00001502236,0.0003351634,0.0004132473,0.00004816425,0.0004247062],"domain_scores_gemma":[0.9992828,0.0002443647,0.00006290508,0.0003232065,0.00006882974,0.00001790599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0010675,0.00003549986,0.0004542601,0.00529717,0.0009577848,0.000008855573,0.0008937109,0.04590285,0.04684312,0.5245339,0.03320688,0.3407985],"study_design_scores_gemma":[0.00503512,0.0006971137,0.0002829781,0.001186243,0.0002148222,0.00006534534,0.06223659,0.09425348,0.6369933,0.05922318,0.1377276,0.00208424],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2816684,0.008812422,0.6925429,0.004049766,0.003340968,0.001600021,0.0003046332,0.006225733,0.001455155],"genre_scores_gemma":[0.9668076,0.0006146299,0.03099943,0.00004093617,0.0002064993,0.001028168,0.00001986091,0.0000421956,0.0002406755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6851392,"threshold_uncertainty_score":0.9999502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00510742880924156,"score_gpt":0.205632333704462,"score_spread":0.2005249048952204,"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."}}