{"id":"W2473593875","doi":"10.1002/mus.25249","title":"Interleaved neuromuscular electrical stimulation: Motor unit recruitment overlap","year":2016,"lang":"en","type":"article","venue":"Muscle & Nerve","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University Health Network; Geomechanica (Canada); University of Alberta","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Craig H. Neilsen Foundation","keywords":"Tibialis anterior muscle; Stimulation; Common peroneal nerve; Stimulus (psychology); Physical medicine and rehabilitation; Torque; Neuromuscular junction; Motor unit; Medicine; Intensity (physics); Biomedical engineering; Anatomy; Physics; Neuroscience; Psychology; Skeletal muscle; 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":[0.0004241774,0.0002702077,0.0002560455,0.0002514031,0.0001134093,0.0002276714,0.0003106016,0.0002712601,0.001407025],"category_scores_gemma":[0.001027566,0.0001538775,0.0001325854,0.000177594,0.0003138779,0.0003464007,0.0004717714,0.000292836,0.0001622918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002642472,"about_ca_system_score_gemma":0.0001582931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003420057,"about_ca_topic_score_gemma":0.0008006693,"domain_scores_codex":[0.9996516,0.00005616195,0.00002823693,0.00007434157,0.0001502252,0.00003937253],"domain_scores_gemma":[0.9993512,0.0002916597,0.0001508338,0.00005094804,0.00008745229,0.00006791222],"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":[0.0008720435,0.0001988044,0.006102877,0.0001870882,0.0000400267,0.0001142481,0.00005471914,0.0008588255,0.9688492,0.000145344,0.00003979259,0.02253706],"study_design_scores_gemma":[0.0001027106,0.005232883,0.3367397,0.0001004766,0.0001526749,0.002013901,0.0001386808,0.01855021,0.6328095,0.0007729784,0.003354057,0.00003217141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977335,0.000798118,0.02080909,0.00002177958,0.00001628028,0.00004429179,0.00003992259,0.00004476579,0.0008906712],"genre_scores_gemma":[0.992636,0.0001587263,0.006559775,0.00002584767,0.00001084229,0.00004252204,0.00005361465,0.000009477087,0.0005031278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001407025,"threshold_uncertainty_score":0.004706979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03932757371220281,"score_gpt":0.250760677231198,"score_spread":0.2114331035189952,"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."}}