{"id":"W2150580893","doi":"10.1109/iembs.1995.579642","title":"Dynamic surface EMG/force relation in human elbow flexion","year":2002,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Elbow; Elbow flexion; Electromyography; Computer science; Joint (building); Transformation matrix; Simulation; Biomedical engineering; Anatomy; Engineering; Physical medicine and rehabilitation; Structural engineering; Physics; Medicine","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":[0.0002212046,0.0003441215,0.0002588197,0.0003753001,0.0001131424,0.0002996678,0.0001689618,0.0004139058,0.001764817],"category_scores_gemma":[0.001387225,0.0001361659,0.0002441872,0.000235535,0.0002309075,0.0003199879,0.0001493348,0.0001744759,0.000601914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214466,"about_ca_system_score_gemma":0.0001141325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426449,"about_ca_topic_score_gemma":0.0008838426,"domain_scores_codex":[0.9998564,0.00003810817,0.000008432678,0.00003544137,0.00005134488,0.00001026315],"domain_scores_gemma":[0.9997801,0.0001463845,0.00001882056,0.00001504099,0.00003018321,0.000009470344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008175339,0.0001808056,0.02544802,0.0005440509,0.0001409948,0.002078488,0.0008146829,0.3119341,0.412324,0.008456305,0.001372326,0.2358888],"study_design_scores_gemma":[0.00004251091,0.0009601885,0.08857994,0.00006513888,0.00004470969,0.004342217,0.0001806058,0.8728309,0.01986858,0.008981856,0.004045656,0.00005776744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7275972,0.001360891,0.2621655,0.000230822,0.00002371414,0.00007642282,0.0003143119,0.0007741782,0.007456977],"genre_scores_gemma":[0.988531,0.0003192209,0.009610509,0.00002111092,0.000009847215,0.00003873672,0.0001166944,0.00003605505,0.001316722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001764817,"threshold_uncertainty_score":0.00590384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159246873622133,"score_gpt":0.2175335542053596,"score_spread":0.2059410854691383,"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."}}