{"id":"W2086841906","doi":"10.1109/iembs.2010.5627263","title":"Evaluation of motor unit placement algorithms for EMG simulation","year":2010,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph; Mount Allison University","funders":"","keywords":"Motor unit; Computer science; Motor unit recruitment; Unit (ring theory); Spatial dispersion; Algorithm; Electromyography; Mathematics; Neuroscience; Physics; Biology","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":[0.002354322,0.0009222219,0.0006282781,0.000666831,0.0004036162,0.0007511249,0.001105666,0.001351853,0.002712586],"category_scores_gemma":[0.01439324,0.0003522994,0.0003491907,0.0005907299,0.0004559555,0.0007537553,0.000547448,0.0006441115,0.0003607236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159789,"about_ca_system_score_gemma":0.00122677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008579168,"about_ca_topic_score_gemma":0.007518771,"domain_scores_codex":[0.9991065,0.0004394469,0.00007470681,0.00008158077,0.0002285876,0.00006923122],"domain_scores_gemma":[0.988767,0.009009696,0.0003368373,0.0004501034,0.001288914,0.0001474895],"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":[0.0002163106,0.00008593817,0.001322303,0.0001245639,0.00003469306,0.00003978357,0.00007127447,0.9530797,0.001846654,0.002080055,0.0003795305,0.04071926],"study_design_scores_gemma":[0.00002118483,0.00007482992,0.0001767177,0.000008437221,0.0000053047,0.00001256645,0.00001900607,0.99787,0.001201836,0.000340506,0.0002655589,0.000004044866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2931025,0.0007550925,0.69265,0.0005245809,0.0001832783,0.000402199,0.0002186689,0.002656837,0.009506872],"genre_scores_gemma":[0.6890512,0.0002800684,0.3086754,0.00006412185,0.00002510892,0.000226272,0.0001803831,0.0002362703,0.001261215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008579168,"threshold_uncertainty_score":0.01705843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05147705998451007,"score_gpt":0.3133874918122869,"score_spread":0.2619104318277768,"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."}}