{"id":"W2896362151","doi":"10.1088/1741-2552/aae9d4","title":"On the robustness of real-time myoelectric control investigations: a multiday Fitts’ law approach","year":2018,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Higher Education Commission, Pakistan","keywords":"Robustness (evolution); Computer science; Fitts's law; Artificial intelligence; Management; Economics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007759108,0.0006370342,0.0006861564,0.001037388,0.0003075867,0.001050143,0.001018235,0.0009132591,0.001187225],"category_scores_gemma":[0.02953365,0.0003394051,0.0006972505,0.0004807165,0.00111558,0.001063246,0.001144723,0.0007720245,0.0003228074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009477771,"about_ca_system_score_gemma":0.0004261348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009727154,"about_ca_topic_score_gemma":0.0007202005,"domain_scores_codex":[0.9955671,0.001474057,0.000300608,0.0009620353,0.001537769,0.0001583522],"domain_scores_gemma":[0.9811834,0.01336963,0.00175334,0.002073581,0.001422677,0.0001973754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003906596,0.0009883515,0.05170695,0.0007724093,0.0005591196,0.000690654,0.0009877739,0.1864517,0.4351349,0.003335842,0.0009373435,0.3145285],"study_design_scores_gemma":[0.00005093245,0.005876183,0.09119549,0.00006692832,0.0001826322,0.0005967589,0.0002037794,0.7606784,0.1371009,0.002420593,0.001497012,0.0001305263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5616425,0.0005629087,0.4342065,0.0001943484,0.00007257789,0.000303623,0.0001673348,0.0005396934,0.002310465],"genre_scores_gemma":[0.9614956,0.0001149905,0.03697906,0.00006428832,0.00001869145,0.000232189,0.0001129686,0.00006259041,0.0009195501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007759108,"threshold_uncertainty_score":0.04103458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213953266813461,"score_gpt":0.1973960451848565,"score_spread":0.1852565125167219,"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."}}