{"id":"W1973954367","doi":"10.1007/s00421-013-2807-4","title":"Reducing muscle fatigue during transcutaneous neuromuscular electrical stimulation by spatially and sequentially distributing electrical stimulation sources","year":2014,"lang":"en","type":"article","venue":"European Journal of Applied Physiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Toronto Rehabilitation Institute; Ontario Ministry of Health and Long-Term Care","keywords":"Stimulation; Electrical muscle stimulation; Muscle fatigue; Functional electrical stimulation; Sports medicine; Human physiology; Physical medicine and rehabilitation; Medicine; Electric stimulation; Biomedical engineering; Physical therapy; Electromyography; Internal 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":[0.0001713603,0.0003507574,0.0002868656,0.0002344383,0.00007066002,0.0001383034,0.0002686739,0.0002827079,0.0007392101],"category_scores_gemma":[0.0004856972,0.0001353193,0.0002436792,0.0001458701,0.0002577362,0.0003214482,0.0003969317,0.0001726384,0.0001682685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008768459,"about_ca_system_score_gemma":0.0001081582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000173989,"about_ca_topic_score_gemma":0.0004979481,"domain_scores_codex":[0.9998612,0.00002373431,0.00001776281,0.00003284061,0.00005075251,0.00001365002],"domain_scores_gemma":[0.9998167,0.00006021801,0.00005022869,0.00001979173,0.00003778022,0.00001528124],"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":[0.0002292979,0.00005567891,0.0004217768,0.0001553333,0.00001055755,0.00003326662,0.00002268513,0.0003873779,0.9823646,0.0000247992,0.00002344804,0.01627116],"study_design_scores_gemma":[0.0001949252,0.007551123,0.04594546,0.00008755822,0.0001223748,0.0009549229,0.0001372743,0.009319125,0.9327604,0.0002541616,0.002650189,0.00002251836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653609,0.002367399,0.031285,0.00007690422,0.0000434933,0.00005657598,0.00002729659,0.00007904332,0.0007032354],"genre_scores_gemma":[0.9823171,0.0008266043,0.01591629,0.00009413978,0.00003910417,0.00005631022,0.00004272729,0.00001179916,0.0006958983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007392101,"threshold_uncertainty_score":0.002472937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007040433632360748,"score_gpt":0.1937558517611606,"score_spread":0.1867154181287999,"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."}}