{"id":"W103553833","doi":"","title":"Design of a Haptic Interface for Medical Applications using Magneto-Rheological Fluid based Actuators","year":2014,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Elevator Systems and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Actuator; Interface (matter); Magneto; Rheology; Computer science; Magnetorheological fluid; Mechanical engineering; Control engineering; Simulation; Human–computer interaction; Materials science; Engineering; Artificial intelligence; Composite material; Magnet; Bubble","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003931365,0.0003931281,0.0003833229,0.0002024019,0.000201927,0.0004794887,0.0009131982,0.0007177356,0.001891068],"category_scores_gemma":[0.0004795228,0.0002347199,0.0003278002,0.00008321521,0.0002353357,0.0005054216,0.0003637055,0.0003128803,0.0004673311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414447,"about_ca_system_score_gemma":0.0003517577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001292619,"about_ca_topic_score_gemma":0.0001203813,"domain_scores_codex":[0.9997974,0.00002736684,0.00001594638,0.0000431774,0.00009578365,0.00002033044],"domain_scores_gemma":[0.9998104,0.00006588061,0.0000328599,0.00001856273,0.00005533427,0.00001700594],"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":[0.0001875439,0.0001015543,0.0004668722,0.0006943232,0.0000333061,0.0003106104,0.0002172112,0.008791636,0.9006423,0.002572865,0.0007101736,0.08527172],"study_design_scores_gemma":[0.0003949356,0.004538111,0.006081897,0.0001974137,0.0001431485,0.002836983,0.0002316086,0.3043247,0.6121123,0.001515743,0.06744714,0.0001760622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1128394,0.001046239,0.8805412,0.000222153,0.0001460223,0.000575247,0.0000911902,0.001284307,0.003254119],"genre_scores_gemma":[0.4736416,0.0007691348,0.5202287,0.0001433432,0.0000507361,0.0005137323,0.0001301013,0.00007566062,0.004447053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001891068,"threshold_uncertainty_score":0.006326258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06318228736759558,"score_gpt":0.2876656493998381,"score_spread":0.2244833620322425,"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."}}