{"id":"W2101660043","doi":"10.1016/j.jelekin.2014.06.009","title":"On the usability of intramuscular EMG for prosthetic control: A Fitts’ Law approach","year":2014,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Danish Agency for Science and Higher Education; Natural Sciences and Engineering Research Council of Canada","keywords":"Fitts's law; Usability; Electromyography; Computer science; Control (management); Physical medicine and rehabilitation; Human–computer interaction; Medicine; Artificial intelligence; Movement (music); Philosophy","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":[0.01398447,0.001716064,0.002006132,0.003537313,0.001188865,0.004322046,0.00367753,0.004992703,0.009628977],"category_scores_gemma":[0.09470214,0.001169688,0.002241486,0.001081872,0.01152033,0.01077181,0.00374025,0.004049635,0.001623042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002012142,"about_ca_system_score_gemma":0.001030149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002324771,"about_ca_topic_score_gemma":0.0009709283,"domain_scores_codex":[0.9900135,0.004325829,0.0005321688,0.00151757,0.003033579,0.0005774248],"domain_scores_gemma":[0.8958828,0.09279718,0.001331377,0.005426413,0.004213473,0.0003487396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000258358,0.0003037576,0.004534332,0.0005847536,0.0002076899,0.001788159,0.002217093,0.03829768,0.00838832,0.8463025,0.003828701,0.09328865],"study_design_scores_gemma":[0.00005534308,0.0005693806,0.004367613,0.0003065792,0.0001183382,0.001895537,0.0006617696,0.357152,0.003728362,0.6264811,0.004524801,0.0001392874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07066294,0.002865805,0.8609063,0.005708807,0.0002588697,0.0002240038,0.0001319777,0.0002089268,0.05903237],"genre_scores_gemma":[0.9205663,0.001736418,0.06291777,0.0009865572,0.0004390613,0.0004343313,0.00007086864,0.00030025,0.01254841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01398447,"threshold_uncertainty_score":0.07395786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007026798592663406,"score_gpt":0.1958558365788048,"score_spread":0.1888290379861414,"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."}}