{"id":"W1986860340","doi":"10.1007/s00421-002-0769-z","title":"Muscle recovery from a short fatigue test and consequence on the reliability of EMG indices of fatigue","year":2003,"lang":"en","type":"article","venue":"European Journal of Applied Physiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Muscle fatigue; Electromyography; Trunk; Physical medicine and rehabilitation; Physical therapy; Medicine; Analysis of variance; Isometric exercise; Muscle contraction; Isokinetic Exercise; Mathematics; Anatomy; Internal 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":[0.002048357,0.0004111943,0.0005436235,0.0007826541,0.0001680573,0.0002715173,0.0003172806,0.0005606242,0.001507352],"category_scores_gemma":[0.01574728,0.0001688029,0.0003299787,0.0002311062,0.0006479507,0.0004316399,0.0004345373,0.0007418741,0.0004350817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369371,"about_ca_system_score_gemma":0.0001340429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00074516,"about_ca_topic_score_gemma":0.0008741907,"domain_scores_codex":[0.9991006,0.0002646233,0.00009159119,0.0001074152,0.0003064249,0.0001293847],"domain_scores_gemma":[0.9889103,0.006835504,0.001201909,0.0008724534,0.001536918,0.0006429618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04202852,0.001494403,0.4929883,0.0002497469,0.0005050197,0.001127667,0.001273451,0.001666317,0.3855521,0.0001997608,0.0005781836,0.07233648],"study_design_scores_gemma":[0.00003638063,0.005857435,0.9773082,0.0000148547,0.00008055355,0.0008884842,0.0001223971,0.001234664,0.0141168,0.00007563714,0.00025095,0.00001350132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980797,0.0002984789,0.0008433975,0.00003272213,0.00001501036,0.00002123,0.00007360458,0.0000186046,0.000617439],"genre_scores_gemma":[0.9991211,0.000058348,0.0002013904,0.00002470438,0.00001564864,0.00001206013,0.0001222965,0.00001023794,0.0004341374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002048357,"threshold_uncertainty_score":0.01083291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289893510972851,"score_gpt":0.2179532996771171,"score_spread":0.1950543645673886,"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."}}