{"id":"W2532608858","doi":"10.1109/iembs.1991.684218","title":"Evaluation Of Simulated Motor Unit Action Potentials","year":2005,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Motor unit; Concentric; Electromyography; Computer science; Population; Pattern recognition (psychology); Biomedical engineering; Artificial intelligence; Mathematics; Anatomy; Engineering; Physical medicine and rehabilitation; Medicine; Geometry","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":[0.0008998004,0.00062989,0.0004371554,0.0005489769,0.0002068717,0.0005162797,0.0007766615,0.0007170417,0.00254061],"category_scores_gemma":[0.005914584,0.0001949839,0.0003397062,0.0003543691,0.0002842829,0.0003930076,0.0003855735,0.0002981832,0.0002722956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006687925,"about_ca_system_score_gemma":0.0003397372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001106,"about_ca_topic_score_gemma":0.0006516774,"domain_scores_codex":[0.9994697,0.0001401481,0.00004649392,0.00009616883,0.000210011,0.00003743324],"domain_scores_gemma":[0.9978823,0.001170281,0.0001742405,0.000191897,0.0005219794,0.0000591959],"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":[0.0007996841,0.0002306182,0.009230085,0.0003536411,0.0001342103,0.0003107094,0.0001516619,0.8850056,0.04545218,0.001968456,0.0004775357,0.0558856],"study_design_scores_gemma":[0.00003224097,0.0003421615,0.003035118,0.00001677946,0.00002394484,0.0001872447,0.00003366429,0.9695581,0.02527581,0.000748018,0.0007268914,0.00002006517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6322392,0.000209165,0.361742,0.00009397866,0.00004875121,0.0003729329,0.0007769076,0.001040033,0.003476975],"genre_scores_gemma":[0.9496143,0.00006294862,0.04920626,0.00001758841,0.000005656128,0.0002620784,0.0003377525,0.00006815975,0.0004252204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00254061,"threshold_uncertainty_score":0.008499205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05534295999360188,"score_gpt":0.2979371562066035,"score_spread":0.2425941962130017,"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."}}