{"id":"W2146112273","doi":"10.1016/j.jmbbm.2011.08.016","title":"Characterization of the anisotropic mechanical properties of excised human skin","year":2011,"lang":"en","type":"article","venue":"Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":744,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Irish Research Council; Irish Research Council for Science, Engineering and Technology; U.S. Department of Justice","keywords":"Ultimate tensile strength; Materials science; Digital image correlation; Strain (injury); Anisotropy; Dermis; Deformation (meteorology); Composite material; Human skin; Elastic modulus; Orientation (vector space); Modulus; Biomedical engineering; Characterization (materials science); Uniaxial tension; Strain energy density function; Biomechanics; Anatomy; Medicine; Mathematics; Structural engineering; Optics; Geometry; Finite element method; Nanotechnology","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":[0.0001922134,0.0001408597,0.0001103732,0.0002202526,0.0001059576,0.0001358274,0.0001057824,0.0002639025,0.001172257],"category_scores_gemma":[0.0003502486,0.0001205912,0.0001261328,0.0001154327,0.0001556935,0.0001921216,0.00008509458,0.0001833196,0.0001923703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004501831,"about_ca_system_score_gemma":0.00008723074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002371536,"about_ca_topic_score_gemma":0.0002813039,"domain_scores_codex":[0.9999242,0.00001261317,0.000005600104,0.00001989147,0.00002976388,0.000007899032],"domain_scores_gemma":[0.9997408,0.00009804805,0.00004090031,0.00004344081,0.00005451937,0.00002234952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001286887,0.00002243107,0.00150161,0.00002248294,0.000004737834,0.000089743,0.00002692888,0.0001269101,0.994486,0.00002193664,0.00001856043,0.00354989],"study_design_scores_gemma":[0.00002578471,0.0008354305,0.1796397,0.0000148886,0.00006658045,0.003461442,0.0002291412,0.004436405,0.809181,0.0001032478,0.001988382,0.00001803375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943694,0.0003559221,0.004273482,0.00001942117,0.000008101549,0.00001663261,0.00009617191,0.00001377686,0.000847092],"genre_scores_gemma":[0.9965457,0.0002139501,0.00221497,0.00003050219,0.000007374964,0.00001705058,0.0001231795,0.00000846019,0.000838869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001172257,"threshold_uncertainty_score":0.003921568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152465173855648,"score_gpt":0.2339921237573332,"score_spread":0.2024674720187767,"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."}}