{"id":"W2805961086","doi":"10.1088/1741-2552/aac89b","title":"A proportional control scheme for high density force myography","year":2018,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance myography; Computer science; Electromyography; Proportional control; Usability; Wrist; SIGNAL (programming language); Artificial intelligence; Forearm; Pattern recognition (psychology); Mathematics; Simulation; Physical medicine and rehabilitation; Control system; Medicine; 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":[0.0008153054,0.0004269785,0.0002952463,0.0005346215,0.0002881871,0.0006015048,0.001028082,0.0004112853,0.004584754],"category_scores_gemma":[0.00308247,0.0001970542,0.000175115,0.0003149966,0.0003673139,0.0005528753,0.0005144082,0.0004423504,0.0007536875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003225269,"about_ca_system_score_gemma":0.0003177898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683162,"about_ca_topic_score_gemma":0.001580777,"domain_scores_codex":[0.9991641,0.0001654664,0.00005020615,0.0002150081,0.0003644487,0.00004068137],"domain_scores_gemma":[0.9990085,0.0003765009,0.0001151219,0.0001751723,0.0002887558,0.00003591162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004880987,0.0003482706,0.0009656808,0.0001697177,0.00003808041,0.0001087277,0.0001821402,0.02075043,0.2043485,0.003776019,0.001937221,0.7668871],"study_design_scores_gemma":[0.00009530817,0.0005839352,0.002922583,0.00002549962,0.00003651078,0.0002810663,0.00003087798,0.916625,0.07190306,0.001528982,0.005928153,0.00003903923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04716508,0.0001771581,0.9479471,0.00008734762,0.00008960886,0.000155172,0.00003657967,0.001927542,0.002414366],"genre_scores_gemma":[0.7280625,0.0001101565,0.2664816,0.0001273419,0.0001001378,0.0002017589,0.0000767322,0.0001069565,0.004732857],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004584754,"threshold_uncertainty_score":0.01533753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00734674979208229,"score_gpt":0.2032870372681147,"score_spread":0.1959402874760324,"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."}}