{"id":"W2737248144","doi":"10.1007/s00221-017-5035-z","title":"Effect of training status on beta-range corticomuscular coherence in agonist vs. antagonist muscles during isometric knee contractions","year":2017,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Isometric exercise; Antagonist; Motor cortex; Agonist; Psychology; Electromyography; Physical medicine and rehabilitation; Agonist-antagonist; Neuroscience; Chemistry; Medicine; Internal medicine; Receptor; Stimulation","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":[0.0004056701,0.0003767927,0.000549092,0.0001890022,0.0002415083,0.0003177256,0.0001919522,0.0003529679,0.004156712],"category_scores_gemma":[0.002126676,0.0001950936,0.0001681585,0.0001522891,0.0006252272,0.0004489535,0.0003337598,0.0004008823,0.0002824471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001396371,"about_ca_system_score_gemma":0.0001926446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379251,"about_ca_topic_score_gemma":0.001735826,"domain_scores_codex":[0.9998135,0.00004045289,0.00002475028,0.00004478706,0.00001337669,0.0000631158],"domain_scores_gemma":[0.9986707,0.0008156731,0.00008013898,0.00007648679,0.00009072201,0.000266371],"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":[0.3230794,0.00297611,0.01167852,0.0002737083,0.000165674,0.0002541131,0.0006927173,0.0006313167,0.6404931,0.0001696599,0.0001776001,0.01940808],"study_design_scores_gemma":[0.003489266,0.07611103,0.7886122,0.0001015637,0.0008925845,0.000412548,0.001122566,0.00544434,0.1214639,0.0004558097,0.001817623,0.00007649353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993178,0.00007375705,0.0001097769,0.00002194596,0.00002000485,0.00001187617,0.0000554248,0.000003474432,0.000386002],"genre_scores_gemma":[0.9986865,0.00006199483,0.0001196675,0.00002153077,0.00001937654,0.00004456084,0.00007464195,0.000006142043,0.0009656536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004156712,"threshold_uncertainty_score":0.01390558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04831830522594414,"score_gpt":0.3627830832001024,"score_spread":0.3144647779741583,"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."}}