{"id":"W2024011243","doi":"10.1016/j.jelekin.2013.05.005","title":"A comparison of EMG-based muscle fatigue assessments during dynamic contractions","year":2013,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Muscle fatigue; Physical medicine and rehabilitation; Electromyography; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002695763,0.0005154405,0.0007401038,0.001709084,0.0002406431,0.0006221264,0.0005292461,0.0009232928,0.001596808],"category_scores_gemma":[0.006723766,0.0002367858,0.0003356852,0.0005593211,0.0002587568,0.0008942172,0.0006127526,0.0003367431,0.0005320665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091352,"about_ca_system_score_gemma":0.0002828195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009832981,"about_ca_topic_score_gemma":0.002171847,"domain_scores_codex":[0.9982999,0.0004943378,0.0001998984,0.0002531774,0.000652989,0.00009967861],"domain_scores_gemma":[0.9958693,0.001781249,0.0003076457,0.0001590545,0.001651522,0.0002312102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03917368,0.001441564,0.1321805,0.002132311,0.0009336625,0.0002990114,0.001558479,0.002136794,0.4055766,0.0003338906,0.0008400632,0.4133935],"study_design_scores_gemma":[0.0006078793,0.01699783,0.9183683,0.0001932963,0.0007819674,0.001728818,0.0009961374,0.01234352,0.04522422,0.0002756795,0.002364984,0.0001173708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973253,0.003566928,0.01854222,0.00008634342,0.0001351318,0.0003333294,0.000744192,0.0001535224,0.003185355],"genre_scores_gemma":[0.9887953,0.001041121,0.00808369,0.00008305893,0.00006949974,0.0002001444,0.0003981053,0.00003103469,0.001298029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002695763,"threshold_uncertainty_score":0.01425678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549358246122827,"score_gpt":0.2944968648621076,"score_spread":0.2790032824008793,"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."}}