{"id":"W4407578834","doi":"10.3390/s25041175","title":"Weather-Adaptive Regenerative Braking Strategy Based on Driving Style Recognition for Intelligent Electric Vehicles","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Regenerative brake; Automotive engineering; Engineering; Engine braking; Computer science; Brake","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":[0.00007481882,0.0003522611,0.0001936564,0.0002418507,0.0001196682,0.0002188025,0.0003034055,0.0001328168,0.0004256454],"category_scores_gemma":[0.0002430136,0.0001234216,0.0001920344,0.0001183905,0.00009111448,0.0002821796,0.0001688119,0.0001443303,0.0002008976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001626305,"about_ca_system_score_gemma":0.0001966287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002752078,"about_ca_topic_score_gemma":0.004926593,"domain_scores_codex":[0.9999385,0.00000676344,0.000003401345,0.00001670539,0.00002046439,0.00001412227],"domain_scores_gemma":[0.9999226,0.00001144876,0.00001758474,0.00001282741,0.00002553356,0.000009979575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004784038,0.0002481149,0.0173976,0.0001243038,0.00008032079,0.0001918546,0.0001767162,0.2789519,0.2283855,0.001410736,0.001221433,0.4713331],"study_design_scores_gemma":[0.00001454791,0.00019333,0.01006981,0.000005515217,0.00003417239,0.00007112132,0.00006088825,0.9606093,0.02669495,0.0006430116,0.001581148,0.00002218143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6396495,0.0004532535,0.351686,0.00008910267,0.00007831238,0.00007444069,0.00009705379,0.001285747,0.006586588],"genre_scores_gemma":[0.9914888,0.00004619874,0.007803528,0.00001077939,0.000005112731,0.000009205743,0.0000330187,0.00001014474,0.0005932123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002752078,"threshold_uncertainty_score":0.005472064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669402754450612,"score_gpt":0.2364456433132253,"score_spread":0.2197516157687192,"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."}}