{"id":"W4413009142","doi":"10.1039/d5sm00502g","title":"Hyperelastic characterization <i>via</i> deep indentation","year":2025,"lang":"en","type":"article","venue":"Soft Matter","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hyperelastic material; Characterization (materials science); Materials science; Uniaxial tension; Indentation; Self-healing hydrogels; Composite material; Ultimate tensile strength; Structural engineering; Nanotechnology; Engineering; Polymer chemistry; Finite element method","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":[0.0005667412,0.0006225057,0.0002380419,0.000730346,0.00042106,0.0006142532,0.0005121866,0.0008695559,0.005777767],"category_scores_gemma":[0.001097265,0.0003319691,0.0001544259,0.0006266691,0.0007627128,0.001495929,0.0006964972,0.0007975925,0.001302914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307422,"about_ca_system_score_gemma":0.0001949163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004179998,"about_ca_topic_score_gemma":0.001077975,"domain_scores_codex":[0.9996052,0.00003611928,0.00002762514,0.0001042311,0.0001757637,0.00005104534],"domain_scores_gemma":[0.9992964,0.0002041412,0.0001304537,0.0001441499,0.0001956378,0.00002919851],"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":[0.00001966266,0.00001780751,0.0002123647,0.00007884501,0.000002728239,0.00005223861,0.00009957946,0.0002622599,0.9917915,0.0007169243,0.00043508,0.006311157],"study_design_scores_gemma":[0.000004894369,0.00008283426,0.003940389,0.00001999114,0.000005421128,0.0001565734,0.0001347187,0.006441229,0.979837,0.0006564939,0.008684981,0.00003549299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6358948,0.001930385,0.3205936,0.001040849,0.0003884195,0.0004365075,0.002937409,0.002406303,0.03437166],"genre_scores_gemma":[0.8364483,0.00130786,0.1458,0.000491471,0.000118869,0.000531272,0.001239635,0.0005345916,0.01352788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005777767,"threshold_uncertainty_score":0.01932859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005265763189583799,"score_gpt":0.2376451413267691,"score_spread":0.2323793781371853,"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."}}