{"id":"W2941862207","doi":"10.3389/fphys.2019.00449","title":"Long-Term Endurance and Power Training May Facilitate Motor Unit Size Expansion to Compensate for Declining Motor Unit Numbers in Older Age","year":2019,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Medical Research Council; Manchester Metropolitan University","keywords":"Reinnervation; Motor unit; Medicine; Biceps; Motor unit recruitment; Athletes; Denervation; Electromyography; Endurance training; Physical medicine and rehabilitation; Muscle power; Physical therapy; Cardiology; Internal medicine; Anatomy","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":[0.0004311533,0.0002721614,0.0003251797,0.0003966714,0.0001397681,0.0002580505,0.0002206714,0.0003481176,0.003070491],"category_scores_gemma":[0.000960822,0.0001168164,0.0002185946,0.0001629919,0.0002308577,0.0004172611,0.0002720132,0.0001746491,0.0004298335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030813,"about_ca_system_score_gemma":0.0001013274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006481113,"about_ca_topic_score_gemma":0.001180908,"domain_scores_codex":[0.9999163,0.00001465351,0.00001266932,0.0000215877,0.00001306379,0.00002170077],"domain_scores_gemma":[0.9995738,0.00007247399,0.0001835442,0.00003478819,0.00006926485,0.00006624734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002529205,0.000816344,0.4787408,0.0008727867,0.000264399,0.001372125,0.0008054464,0.0007293728,0.3569239,0.0004748297,0.0005932024,0.1558776],"study_design_scores_gemma":[0.00001189659,0.001207238,0.9956689,0.00002776265,0.0000229499,0.0004716861,0.0000824466,0.0001118221,0.001803318,0.0001334159,0.0004553913,0.000003037949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966587,0.001841602,0.0005370563,0.00006923068,0.00001883443,0.00001023783,0.00005789208,0.0000111014,0.0007952476],"genre_scores_gemma":[0.9968094,0.0009787797,0.0006125835,0.00005038713,0.00003883569,0.00001955192,0.0001024267,0.00000365526,0.001384338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003070491,"threshold_uncertainty_score":0.01027185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273563729496539,"score_gpt":0.251096306975906,"score_spread":0.2283606696809406,"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."}}