{"id":"W3127068286","doi":"10.1007/s00421-021-04742-0","title":"Does increasing the number of channels during neuromuscular electrical stimulation reduce fatigability and produce larger contractions with less discomfort?","year":2021,"lang":"en","type":"article","venue":"European Journal of Applied Physiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Campus Alberta Neuroscience; Craig H. Neilsen Foundation","keywords":"Contraction (grammar); Stimulation; Medicine; Muscle contraction; Physical medicine and rehabilitation; Electromyography; Transcranial magnetic stimulation; Anesthesia; Cardiology; Audiology; Physical therapy; 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":[0.0008090359,0.0002969707,0.0007898193,0.0001361657,0.0001628814,0.0005044905,0.0005429674,0.00144417,0.004706458],"category_scores_gemma":[0.003323464,0.0002092122,0.0003989078,0.000118388,0.0006632184,0.00179724,0.0001513431,0.0005314866,0.001001325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001319982,"about_ca_system_score_gemma":0.0003235034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003465786,"about_ca_topic_score_gemma":0.0006314559,"domain_scores_codex":[0.9996995,0.000083285,0.00003053928,0.0000717568,0.00004958796,0.00006541124],"domain_scores_gemma":[0.9982556,0.0008307351,0.0004123083,0.0001319971,0.0001871914,0.0001822302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03114368,0.008965387,0.04093988,0.003624609,0.0009501254,0.0003942946,0.0004708816,0.0006511981,0.5467589,0.002423372,0.004124754,0.3595528],"study_design_scores_gemma":[0.005851877,0.08983056,0.6708658,0.001190802,0.002574083,0.003549094,0.002185662,0.005603726,0.1766831,0.01177019,0.0297201,0.0001751065],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747987,0.007454244,0.004861396,0.007524568,0.0006190074,0.0001002916,0.0001364095,0.00009024471,0.004415072],"genre_scores_gemma":[0.9854614,0.005381285,0.004384739,0.001933013,0.0007964994,0.0001350763,0.00008237976,0.0000440607,0.00178148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004706458,"threshold_uncertainty_score":0.01574475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008914059597152281,"score_gpt":0.2153406380734378,"score_spread":0.2064265784762855,"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."}}