{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003608799,0.00007403001,0.0001053249,0.00007716846,0.00005297162,0.00001731383,0.00002240767,0.00004803752,0.001029958],"category_scores_gemma":[0.00001278752,0.00006145038,0.00003306357,0.0000977853,0.00002553293,0.00007543249,0.00001779688,0.00008166605,0.000962634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001625798,"about_ca_system_score_gemma":0.00002346376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002485045,"about_ca_topic_score_gemma":0.000001469649,"domain_scores_codex":[0.9995021,0.00001171209,0.000138385,0.00012781,0.00009796012,0.0001220535],"domain_scores_gemma":[0.9997754,0.00002105637,0.0000319856,0.000104868,0.00003043306,0.00003625138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000995071,0.0001145116,0.8373762,0.0001627977,0.00005301645,0.00002658242,0.0001761067,0.000001428233,0.05508444,0.0001236014,0.004578429,0.1022033],"study_design_scores_gemma":[0.0009988872,0.00004004642,0.9680509,0.00009354402,0.00007372248,0.00007671177,0.00002324097,0.0004184699,0.001621635,0.00007536146,0.02844045,0.00008702769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.903326,0.0000320613,0.08489215,0.002906326,0.0008435783,0.0002357862,0.00000732293,0.00007564289,0.00768108],"genre_scores_gemma":[0.9813825,0.000006646466,0.0001178511,0.01115757,0.0001253153,0.00001107368,0.000131282,0.00001009382,0.007057598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1306747,"threshold_uncertainty_score":0.9998832,"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."}}