{"id":"W7127377723","doi":"10.1109/sta66620.2025.11364806","title":"Soft Actor-Critic Based Controller for Clutch Fill and Engagement","year":2025,"lang":"","type":"article","venue":"","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Clutch; Robustness (evolution); Reinforcement learning; Torque; Control theory (sociology); Controller (irrigation); Robust control","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007918563,0.0007734029,0.0006479815,0.0002712609,0.0003077789,0.0006607909,0.0009697917,0.0008067525,0.001675202],"category_scores_gemma":[0.001915336,0.000269692,0.0003290256,0.0001525314,0.00087394,0.0004666967,0.000723072,0.001210285,0.0003026489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005536331,"about_ca_system_score_gemma":0.0008773308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003229502,"about_ca_topic_score_gemma":0.002996828,"domain_scores_codex":[0.9996989,0.00006660642,0.00001577929,0.00007542352,0.00009581514,0.00004763184],"domain_scores_gemma":[0.9991006,0.0004701801,0.0001297114,0.0000435559,0.0001995791,0.00005637466],"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":[0.0001046505,0.00005344888,0.0004632566,0.00007800022,0.00003257129,0.000112427,0.00006238691,0.9598988,0.007764301,0.004204036,0.000722754,0.02650339],"study_design_scores_gemma":[0.00000763788,0.00002447494,0.00004950269,0.000002658523,0.000002935922,0.000007001517,0.000002184678,0.998826,0.0005170499,0.0003794027,0.0001782342,0.000002923706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02404636,0.0001765895,0.9713706,0.0001371126,0.00006989396,0.00005019541,0.00001636754,0.0006145781,0.003518285],"genre_scores_gemma":[0.9679105,0.0000863082,0.02821158,0.00009579393,0.00002824392,0.0001007357,0.00003087785,0.00003343573,0.003502652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003229502,"threshold_uncertainty_score":0.006421387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304076355067597,"score_gpt":0.2501714701404775,"score_spread":0.2371307065898016,"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."}}