{"id":"W2170937766","doi":"10.1109/iembs.1991.684543","title":"A Neural Network Classifier For Multifunction Myoelectric Control","year":2005,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Artificial neural network; Computer science; Control system; Classifier (UML); Artificial intelligence; Selection (genetic algorithm); State (computer science); Pattern recognition (psychology); Control (management); Control theory (sociology); Control engineering; Engineering; Algorithm","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":[0.001137144,0.0004526156,0.0005535798,0.0007206265,0.0004600785,0.0008252292,0.0007839216,0.0009779563,0.003263596],"category_scores_gemma":[0.002529097,0.0001678384,0.0003405468,0.0005397957,0.0002171068,0.0009508282,0.0003754273,0.0009178542,0.001073351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000783282,"about_ca_system_score_gemma":0.0006177844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005819486,"about_ca_topic_score_gemma":0.005106212,"domain_scores_codex":[0.9995025,0.0000907756,0.00003442628,0.0001263145,0.0001839625,0.00006196872],"domain_scores_gemma":[0.9992381,0.0003220744,0.00004639634,0.00005515296,0.0003127192,0.00002567229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002346642,0.000149813,0.002580501,0.0001159267,0.00006182712,0.00008130362,0.00003742637,0.1216395,0.01733093,0.006703245,0.005407865,0.8456571],"study_design_scores_gemma":[0.000006482158,0.00003734767,0.0005610135,0.00001240093,0.000009804611,0.00002662746,0.000005997189,0.993032,0.003187814,0.001486355,0.001626237,0.000007935323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04364574,0.00119927,0.9488518,0.0003770803,0.0002445678,0.0001520883,0.0002761744,0.001691603,0.003561611],"genre_scores_gemma":[0.6115838,0.0006488855,0.3761349,0.0002153732,0.0002365963,0.0003211062,0.0007120798,0.00008900815,0.01005814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005819486,"threshold_uncertainty_score":0.01157123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057865314520185,"score_gpt":0.2052844324769797,"score_spread":0.1947057793317778,"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."}}