{"id":"W3129468722","doi":"10.1109/iros45743.2020.9341643","title":"A Concept of a Miniaturized MR Clutch Utilizing MR Fluid in Squeeze Mode","year":2020,"lang":"en","type":"article","venue":"","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Clutch; Armature (electrical engineering); Torque; Multiphysics; Torque converter; Finite element method; Magnetic gear; Mechanical engineering; Computer science; Magnetorheological fluid; Engineering; Structural engineering; Magnet; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00004556998,0.0001069216,0.0002560052,0.00003277219,0.00001146442,0.000009354539,0.0001081185,0.00009765171,0.0005328478],"category_scores_gemma":[0.00007475972,0.00008454719,0.00006510041,0.0001886931,0.00002662178,0.00008000657,0.0000283237,0.0001197876,0.00002476625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001222491,"about_ca_system_score_gemma":0.00001263866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002276396,"about_ca_topic_score_gemma":0.00001523,"domain_scores_codex":[0.9992813,0.0000254404,0.000294463,0.0001324557,0.00009875398,0.0001675898],"domain_scores_gemma":[0.9997343,0.00006762319,0.00001247103,0.00008666769,0.0000198343,0.00007904809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001415061,0.00004708246,0.000436505,0.00009557816,0.00005392548,0.00001718064,0.002499428,0.05589812,0.917327,0.01670084,0.004476298,0.002306506],"study_design_scores_gemma":[0.001410826,0.00006495501,0.0002856448,0.00001380097,0.000006186026,7.436932e-7,0.0001345903,0.9476395,0.04881017,0.000175973,0.001317314,0.0001402583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8863112,0.00134047,0.06813861,0.00348808,0.0003018175,0.0005034229,0.00002847913,0.000758447,0.03912944],"genre_scores_gemma":[0.9963757,0.00002502231,0.002830029,0.0005888448,0.00006448793,0.00000985351,0.00000546713,0.00001103959,0.00008950063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8917414,"threshold_uncertainty_score":0.5834309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763807548026119,"score_gpt":0.2291639898023991,"score_spread":0.2115259143221379,"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."}}