{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004454855,0.0004511898,0.0003211903,0.0002990861,0.0003011301,0.0005464734,0.000611349,0.0002791026,0.0005521773],"category_scores_gemma":[0.0008459408,0.0001588698,0.0002739642,0.00009792836,0.0003233828,0.0003504299,0.0003167303,0.0003154546,0.0001723828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002844331,"about_ca_system_score_gemma":0.0005044708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003868913,"about_ca_topic_score_gemma":0.00335749,"domain_scores_codex":[0.9997578,0.00003464037,0.00002206879,0.00005750155,0.00009533769,0.00003261563],"domain_scores_gemma":[0.9996592,0.00008389617,0.00006177249,0.00003106706,0.0001475104,0.00001663006],"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":[0.0009182134,0.0004357505,0.003590098,0.0003372524,0.000113438,0.0002446294,0.0004357048,0.3277745,0.4050168,0.004022023,0.0008984802,0.2562131],"study_design_scores_gemma":[0.00003230769,0.0002889514,0.001739828,0.00000705073,0.00003020159,0.00003927713,0.00002193802,0.9588532,0.0381755,0.0002419033,0.0005473351,0.0000223844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2675867,0.0001972601,0.7255724,0.0001373812,0.00008507403,0.0001581064,0.00002620244,0.001221034,0.005015849],"genre_scores_gemma":[0.9896296,0.00002409565,0.009687082,0.00001654083,0.000003647633,0.00003554171,0.00001135958,0.000008520352,0.0005836294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003868913,"threshold_uncertainty_score":0.007692754,"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."}}