{"id":"W2802837549","doi":"10.1139/apnm-2018-0055","title":"Acute changes in muscle thickness and pennation angle in response to work-matched concentric and eccentric isokinetic exercise","year":2018,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Sports Performance and Training","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Concentric; Eccentric; Medicine; Skeletal muscle; Muscle architecture; Isokinetic Exercise; Anatomy; Eccentric exercise; Internal medicine; Cardiology; Physical medicine and rehabilitation; Muscle damage; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001982789,0.0002777729,0.0003129471,0.000205741,0.0001159397,0.000182145,0.0001125136,0.0002684403,0.001418915],"category_scores_gemma":[0.000550557,0.0002186311,0.0001329732,0.00011853,0.0002811069,0.0001596497,0.0003138764,0.0002944101,0.000168153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007187788,"about_ca_system_score_gemma":0.00006200909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000412603,"about_ca_topic_score_gemma":0.0006169557,"domain_scores_codex":[0.9998754,0.00002618781,0.00001196632,0.00002765655,0.00002444378,0.00003438068],"domain_scores_gemma":[0.9995734,0.0000698202,0.0001412323,0.0000446626,0.00004504922,0.0001259026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006677263,0.0008581837,0.05939929,0.00009350872,0.0000556098,0.0002061856,0.0003012942,0.0002159426,0.9236594,0.00001119641,0.00003657031,0.008485566],"study_design_scores_gemma":[0.00003117984,0.003897737,0.97005,0.000004894928,0.0000195157,0.0001543288,0.000178136,0.0003259811,0.02522434,0.00001451472,0.00009166291,0.000007651609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997939,0.00004054611,0.00008345268,0.000002593122,0.000001183853,0.000006124309,0.0000139273,0.000002397129,0.00005586123],"genre_scores_gemma":[0.9993943,0.00004203333,0.000105156,0.00001106907,0.000005818203,0.00001741373,0.00005865528,0.000001972786,0.0003636438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001418915,"threshold_uncertainty_score":0.004746735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277436352304372,"score_gpt":0.2621388589788933,"score_spread":0.2493644954558495,"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."}}