{"id":"W1654595953","doi":"10.1109/iembs.1994.415339","title":"Myoelectric signal classification using a finite impulse response neural network","year":2002,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Artificial neural network; Backpropagation; Artificial intelligence; Recurrent neural network; Network architecture; Time delay neural network; Feedforward neural network; Speech recognition; Pattern recognition (psychology)","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":[0.0008635926,0.0003808195,0.0004542858,0.0005282654,0.0002334738,0.0005915967,0.0006734754,0.000898419,0.001154106],"category_scores_gemma":[0.001971932,0.0002114168,0.0003845121,0.0003810702,0.000433511,0.0007143462,0.0002682086,0.0006122543,0.0003920607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00055183,"about_ca_system_score_gemma":0.0003505624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700071,"about_ca_topic_score_gemma":0.002118815,"domain_scores_codex":[0.9997311,0.00007357646,0.00001491691,0.00008566439,0.00006497914,0.00002980383],"domain_scores_gemma":[0.9995821,0.0002443301,0.00002951019,0.00002903107,0.0001015524,0.0000135016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002899231,0.0001773614,0.002212584,0.00008649404,0.00008925871,0.0001803726,0.00007715112,0.48406,0.03627147,0.006949315,0.001073,0.4685331],"study_design_scores_gemma":[0.000003618686,0.00002673251,0.0002441461,0.000003092367,0.000004595305,0.00001700697,0.000002700225,0.9973128,0.00145531,0.0007597715,0.0001657761,0.000004408612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04811176,0.000347772,0.9487253,0.0002488555,0.00005148727,0.00004376545,0.00004640751,0.0008226368,0.001602154],"genre_scores_gemma":[0.6496144,0.0002600376,0.3464182,0.0001424281,0.00007329068,0.00010801,0.0001211924,0.0000288596,0.003233493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002700071,"threshold_uncertainty_score":0.005368769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03623698772208339,"score_gpt":0.227188753039271,"score_spread":0.1909517653171876,"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."}}