{"id":"W4392838212","doi":"","title":"Skeletal muscle finite element modeling: adaptation From cardiac tissue activation laws","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Finite element method; Skeletal muscle; Adaptation (eye); Cardiac muscle; Computer science; Physics; Neuroscience; Anatomy; Medicine; Biology; Thermodynamics","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":[0.0003998679,0.0004097667,0.0005160742,0.0002791505,0.0002283148,0.0007543967,0.001054285,0.001266843,0.003534267],"category_scores_gemma":[0.001676539,0.0004570893,0.0005489376,0.0003327007,0.000517564,0.0006635452,0.000882139,0.0008928125,0.001102757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002792738,"about_ca_system_score_gemma":0.0004026949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002049522,"about_ca_topic_score_gemma":0.002079323,"domain_scores_codex":[0.999867,0.00004523365,0.000008188776,0.00002640363,0.00004428524,0.000008835965],"domain_scores_gemma":[0.9996679,0.000175909,0.00003346922,0.00003987804,0.00006209985,0.0000207659],"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":[0.00002781122,0.00003296695,0.000444661,0.0000895651,0.00001872007,0.0001353939,0.0001229016,0.9457679,0.008632215,0.01547031,0.001186771,0.02807073],"study_design_scores_gemma":[0.000003293714,0.000007881476,0.0001394323,0.000009466398,0.000003411594,0.00003486719,0.000009301007,0.995625,0.000604324,0.002267013,0.001292701,0.000003302262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02658542,0.0005353782,0.9569948,0.0005985,0.00009002091,0.00005299299,0.0001132009,0.0003374525,0.01469215],"genre_scores_gemma":[0.7835938,0.00232689,0.1667224,0.0005084752,0.0001750064,0.0002584785,0.0002793644,0.0008029058,0.04533273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003534267,"threshold_uncertainty_score":0.0118233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982462745829497,"score_gpt":0.2132474306370161,"score_spread":0.1934228031787211,"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."}}