{"id":"W2984338141","doi":"10.1109/tmech.2019.2951340","title":"A Lightweight Magnetorheological Actuator Using Hybrid Magnetization","year":2019,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Clutch; Magnetorheological fluid; Torque; Magnet; Electromagnetic coil; Actuator; Computer science; Mechanical engineering; Magnetic field; Materials science; Control theory (sociology); Automotive engineering; Physics; Engineering; Control (management); Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002285864,0.0002224424,0.0002388483,0.0001863554,0.0001714732,0.0002339627,0.0004907444,0.0003567788,0.0008014598],"category_scores_gemma":[0.0002132825,0.0001347148,0.0002080552,0.00007277892,0.000234856,0.000372093,0.0004715817,0.0001891127,0.0002793057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435737,"about_ca_system_score_gemma":0.000224275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001749946,"about_ca_topic_score_gemma":0.0003165347,"domain_scores_codex":[0.9998096,0.00002393038,0.00001098369,0.00003388185,0.0001034188,0.00001827261],"domain_scores_gemma":[0.9998565,0.00003107772,0.00004099674,0.00002303873,0.00003208351,0.00001634142],"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":[0.00007286098,0.00002863761,0.0005393498,0.0002378217,0.00001475569,0.0002221879,0.00004660387,0.007333345,0.9533437,0.001941797,0.0003454358,0.03587352],"study_design_scores_gemma":[0.0001234952,0.002262219,0.005705321,0.0000808928,0.00005529973,0.001940681,0.0001106901,0.2942918,0.6495788,0.001628197,0.04411809,0.0001045499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3801292,0.001387035,0.6052716,0.0003218786,0.00018196,0.0001633329,0.00007858503,0.001218978,0.01124754],"genre_scores_gemma":[0.9231918,0.0001998646,0.07310347,0.00004766194,0.0000253327,0.00006329332,0.0000398556,0.0000250105,0.003303635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008014598,"threshold_uncertainty_score":0.002681196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00829608110144109,"score_gpt":0.1951562790495673,"score_spread":0.1868601979481262,"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."}}