{"id":"W7108067789","doi":"10.1139/tcsme-2024-0173","title":"Intention recognition-based braking strength control of an automotive magnetorheological fluid-based braking system","year":2025,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Flywheel; Threshold braking; Braking system; Engine braking; Brake; Braking distance; Automotive industry; Electronic brakeforce distribution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003376825,0.0001867216,0.0003423109,0.0001179261,0.0001611614,0.000026293,0.0002686359,0.0002398902,0.00001427705],"category_scores_gemma":[0.00004154062,0.0001797531,0.0006458747,0.000341758,0.00003357942,0.00007490061,0.000002563609,0.0002420782,3.098319e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005536831,"about_ca_system_score_gemma":0.000192953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003214993,"about_ca_topic_score_gemma":0.007198398,"domain_scores_codex":[0.998875,0.00002964279,0.0004456655,0.0001853281,0.0001451224,0.0003191945],"domain_scores_gemma":[0.9991627,0.0001991575,0.00006705376,0.0002599145,0.0001771583,0.0001340039],"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":[0.00001929413,0.0000288716,0.00000769998,0.000776083,0.0002850562,4.561195e-7,0.00003650619,0.9720803,0.01791974,0.003934263,0.000007956162,0.004903704],"study_design_scores_gemma":[0.001154918,0.00006791623,0.00007211233,0.0004211716,0.0001920763,0.000001427967,0.000144228,0.9895588,0.008123734,0.00004593672,0.00006260587,0.0001551088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03924868,0.00007608132,0.9585377,0.000126857,0.0006791324,0.0006077429,0.0004488313,0.0002028167,0.00007216283],"genre_scores_gemma":[0.9957435,0.000001004826,0.003984154,0.00006378038,0.00002540539,0.0001172995,0.00002054146,0.00003221755,0.00001205591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9564949,"threshold_uncertainty_score":0.733012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005925463500795924,"score_gpt":0.1836888301561432,"score_spread":0.1777633666553473,"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."}}