{"id":"W2053408452","doi":"10.1007/s10237-012-0435-2","title":"Visco-hyperelastic law for finite deformations: a frequency analysis","year":2012,"lang":"en","type":"article","venue":"Biomechanics and Modeling in Mechanobiology","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Hyperelastic material; Mechanics; Nonlinear system; Viscoelasticity; Finite element method; Finite strain theory; Amplitude; Range (aeronautics); Constant (computer programming); Deformation (meteorology); Energy (signal processing); Standard linear solid model; Multiplicative function; Materials science; Classical mechanics; Mathematical analysis; Physics; Mathematics; Thermodynamics; Computer science; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007193784,0.0007953739,0.000615544,0.001739652,0.0004285167,0.0009160566,0.001233215,0.001185154,0.004327134],"category_scores_gemma":[0.002740443,0.0003643738,0.0007627676,0.0007773708,0.001560435,0.002656878,0.001277736,0.002007588,0.001402786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004099153,"about_ca_system_score_gemma":0.0003744692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004933646,"about_ca_topic_score_gemma":0.0004992475,"domain_scores_codex":[0.9996288,0.00006169196,0.00001581401,0.00006209867,0.0002049124,0.00002656407],"domain_scores_gemma":[0.9993124,0.0002988114,0.00006457436,0.0001224024,0.000167891,0.0000339664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002952673,0.00006809967,0.0004606437,0.0001465088,0.00002170156,0.0002192008,0.0002789949,0.07673199,0.01561636,0.8427911,0.003656842,0.05997892],"study_design_scores_gemma":[0.00000532004,0.00003812658,0.001025781,0.00004039601,0.00002140883,0.0005085634,0.00007215337,0.736575,0.002742741,0.2469704,0.01196723,0.00003288874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01066841,0.00247703,0.9632763,0.0006051125,0.0002265303,0.00003419476,0.00004593936,0.0001433805,0.02252311],"genre_scores_gemma":[0.6674029,0.01516416,0.2219923,0.001216225,0.001799672,0.0002437338,0.0002118984,0.0008707666,0.09109837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004327134,"threshold_uncertainty_score":0.01447576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682468787264333,"score_gpt":0.2409935192318039,"score_spread":0.2041688313591605,"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."}}