{"id":"W2149309174","doi":"10.1109/icra.2012.6224724","title":"Adaptive modeling of a fully hysteretic Magneto-Rheological clutch","year":2012,"lang":"en","type":"article","venue":"","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Clutch; Control theory (sociology); Actuator; Hysteresis; Torque; Nonlinear system; Magnetic field; Magnetorheological fluid; Computer science; Field (mathematics); Current (fluid); Engineering; Control engineering; Mechanical engineering; Physics; Artificial intelligence; Control (management); Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001056894,0.0001021591,0.0001784037,0.00003219795,0.00002332883,0.000005362248,0.00008368932,0.0001004286,0.0009615994],"category_scores_gemma":[0.00003027922,0.00006912231,0.00006155304,0.00007659862,0.00003077413,0.0001251103,0.00002910848,0.0000902452,0.00009277935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001176647,"about_ca_system_score_gemma":0.000003958214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005539655,"about_ca_topic_score_gemma":0.000003072785,"domain_scores_codex":[0.9993339,0.00002470974,0.0002209975,0.00007775876,0.00009701787,0.0002456036],"domain_scores_gemma":[0.9997064,0.00006227242,0.00001005987,0.0001017874,0.0000314965,0.00008791849],"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":[0.0001184409,0.0002012178,0.004805158,0.000114552,0.0001324792,0.000004322443,0.0006367777,0.6195261,0.03020377,0.3350765,0.0008241584,0.008356461],"study_design_scores_gemma":[0.0002189567,0.00008990149,0.000659148,0.000006703119,0.00001069514,0.000003300624,0.00005996182,0.9976471,0.0005114227,0.000615661,0.00006811682,0.0001090147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1914337,0.0009404066,0.7315256,0.00005962122,0.0002117239,0.0001165052,0.000002772943,0.0002528671,0.07545683],"genre_scores_gemma":[0.9948353,0.00002301754,0.004665535,0.00006137662,0.00009694325,0.00001078542,0.000001898575,0.000008341428,0.0002968401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8034016,"threshold_uncertainty_score":0.9999517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288874886594986,"score_gpt":0.2064734850036714,"score_spread":0.1835847361377216,"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."}}