{"id":"W2902315414","doi":"10.3390/act7040083","title":"Application of a Nonlinear Hammerstein-Wiener Estimator in the Development and Control of a Magnetorheological Fluid Haptic Device for Robotic Bone Biopsy","year":2018,"lang":"en","type":"article","venue":"Actuators","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Hospital for Sick Children; California HIV/AIDS Research Program","keywords":"Magnetorheological fluid; Nonlinear system; Haptic technology; Estimator; Controller (irrigation); Computer science; Control theory (sociology); Simulation; Control engineering; Artificial intelligence; Engineering; Mathematics; Control (management); Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002871499,0.0001077636,0.0002342105,0.00006433265,0.00003747344,0.000007009826,0.0001079108,0.00008607365,0.00001170995],"category_scores_gemma":[0.0001333326,0.00006757587,0.00003335927,0.0001552978,0.0001256072,0.00004666629,0.00001366048,0.00004912622,0.000004441568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001336864,"about_ca_system_score_gemma":0.00001878566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007374729,"about_ca_topic_score_gemma":0.00001448167,"domain_scores_codex":[0.9992179,0.00002439686,0.0003808393,0.0001270648,0.00009984687,0.000149898],"domain_scores_gemma":[0.9994671,0.0002636921,0.00004847599,0.0001254928,0.00005937869,0.00003589466],"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":[0.001062827,0.0009287091,0.03917214,0.001279968,0.000557567,0.00001140534,0.007450162,0.02462834,0.6892607,0.06627734,0.0003564796,0.1690144],"study_design_scores_gemma":[0.001429571,0.0002786948,0.01528958,0.00002342765,0.00004553324,0.000007424512,0.0001337747,0.9735201,0.007926719,0.0003282539,0.0008558566,0.0001610704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4454191,0.0002057656,0.5537578,0.0001424806,0.00003744825,0.000343341,0.000002902003,0.0000227649,0.00006838733],"genre_scores_gemma":[0.9767653,0.000004540088,0.02297804,0.0000912632,0.0000421491,0.00009886161,0.000006031279,0.000008138356,0.000005645009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9488918,"threshold_uncertainty_score":0.2755664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120274406362717,"score_gpt":0.2291274929814057,"score_spread":0.217100052345134,"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."}}