{"id":"W2141568359","doi":"10.1109/tmech.2008.2004623","title":"Eddy Current Brakes for Haptic Interfaces: Design, Identification, and Control","year":2008,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Haptic technology; Eddy current; Damper; Eddy current brake; Actuator; Dissipative system; Brake; Computer science; Interface (matter); Magnetorheological fluid; Mechanical engineering; Simulation; Control engineering; Engineering; Physics; Electrical engineering","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":[0.0001845494,0.0001935913,0.0002171995,0.0001335816,0.000254685,0.00006213984,0.0001107547,0.0000864805,0.00004533515],"category_scores_gemma":[0.000007670718,0.000196051,0.00007740111,0.0001008844,0.00004162565,0.0001831472,5.02752e-7,0.000173178,0.0000753924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000945333,"about_ca_system_score_gemma":0.00004290115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003893937,"about_ca_topic_score_gemma":0.00002440405,"domain_scores_codex":[0.9989758,0.00003771788,0.0003678842,0.0002300438,0.0001490883,0.0002394822],"domain_scores_gemma":[0.9994167,0.0001310047,0.00003998472,0.0002335068,0.00008353919,0.00009524888],"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":[0.0001290718,0.0002805383,0.0000139776,0.0003224336,0.0003819279,0.000002104381,0.002834178,0.8659122,0.08060818,0.002419935,0.002556009,0.04453945],"study_design_scores_gemma":[0.002400744,0.0002305523,0.000034738,0.00008091916,0.0001311214,0.00005460066,0.0003027485,0.9280492,0.05214293,0.0002811447,0.01579396,0.0004973201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01256271,0.001086667,0.9835377,0.0001229732,0.001537906,0.0007451837,0.0000547845,0.0003332084,0.00001885833],"genre_scores_gemma":[0.9961606,0.0006014346,0.00251124,0.00003051589,0.00007563456,0.0002933519,0.000005545017,0.00004397934,0.0002776448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9835979,"threshold_uncertainty_score":0.7994729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165626447060986,"score_gpt":0.2389578409227355,"score_spread":0.2073015764521257,"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."}}