{"id":"W3207997725","doi":"10.1115/1.4052885","title":"Correlating Skeletal Muscle Output Force and Intramuscular Pressure Via a Three-Dimensional Finite Element Muscle Model","year":2021,"lang":"en","type":"article","venue":"Journal of Biomechanical Engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Faculty of Engineering, McGill University","keywords":"Finite element method; Biomechanics; Skeletal muscle; Biomedical engineering; Stiffness; Mechanics; Computer science; Structural engineering; Materials science; Physics; Anatomy; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002398396,0.0002128174,0.0003330746,0.0001871406,0.00007022869,0.00004165446,0.0001001949,0.0001103205,0.00002098785],"category_scores_gemma":[0.0001110578,0.0002066569,0.0001848885,0.0003156688,0.00001456472,0.0002108149,0.00007440799,0.000418355,6.114003e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004136411,"about_ca_system_score_gemma":0.00002462369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001556696,"about_ca_topic_score_gemma":0.000002669344,"domain_scores_codex":[0.9986601,0.00001307581,0.0005043748,0.000163994,0.0003333383,0.0003251535],"domain_scores_gemma":[0.9993495,0.0001166244,0.00009285689,0.0001353813,0.0001410487,0.0001645558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004442065,0.00003754631,0.000009455135,0.0001182609,0.0003201292,0.00003124353,0.0000757805,0.7348152,0.2175148,0.0002718377,0.00008102827,0.04672017],"study_design_scores_gemma":[0.0005316813,0.00007774948,0.000876034,0.0001089321,0.00007962375,0.00005752071,0.0000211095,0.9907863,0.005535743,0.0003893094,0.001313003,0.0002229737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1667916,0.003752204,0.8286359,0.0001595649,0.0004176096,0.0000932436,0.000006927667,0.0001059497,0.00003697387],"genre_scores_gemma":[0.9864062,0.0001384384,0.01319575,0.00004975717,0.0001426955,0.000005172099,0.000003318054,0.0000391894,0.0000194589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8196146,"threshold_uncertainty_score":0.8427223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008981255357557809,"score_gpt":0.1979990657188301,"score_spread":0.1890178103612723,"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."}}