{"id":"W2119459210","doi":"10.1016/j.jbiomech.2014.09.035","title":"Characterization and assessment of hyperelastic and elastic properties of decellularized human adipose tissues","year":2014,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials; Queen's University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Adipose tissue; Decellularization; Hyperelastic material; Biomedical engineering; Materials science; Soft tissue; Tissue engineering; Finite element method; Anatomy; Medicine; Pathology; Internal medicine; Structural engineering; Engineering","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":[0.0002736584,0.00008322208,0.0003827525,0.0001870842,0.00002180743,0.000004439606,0.00002852696,0.00005027492,0.000006579381],"category_scores_gemma":[0.0001013568,0.00005410054,0.00002715254,0.00008235908,0.00005498653,0.00003737985,0.00001602349,0.0001103146,1.034535e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001267401,"about_ca_system_score_gemma":0.00003113053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001914934,"about_ca_topic_score_gemma":2.93197e-7,"domain_scores_codex":[0.9992845,0.00003267176,0.000366275,0.00006363132,0.0001854766,0.00006743768],"domain_scores_gemma":[0.9993877,0.00002433886,0.0002764128,0.00006684988,0.0001659778,0.00007872357],"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":[0.00003035675,0.00006521145,0.0001834461,0.0003814036,0.00007665265,0.000003533737,0.0001914293,0.000002507513,0.9890749,0.0005288519,0.000001938223,0.00945973],"study_design_scores_gemma":[0.00306374,0.004470146,0.004890096,0.001944317,0.000541846,0.0003977187,0.0001175831,0.03119159,0.9515213,0.00006410498,0.00168004,0.0001174586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182155,0.002973519,0.07842825,0.0001364475,0.0001598815,0.00007588075,0.00000144942,0.000004211337,0.000004825227],"genre_scores_gemma":[0.9961016,0.0003041211,0.003253486,0.000005131584,0.0001185806,6.131439e-7,0.000003382494,0.00001088079,0.0002022749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07788599,"threshold_uncertainty_score":0.2206156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932906274141117,"score_gpt":0.2649320131861883,"score_spread":0.2456029504447771,"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."}}