{"id":"W4412091011","doi":"10.1016/j.ultrasmedbio.2025.06.007","title":"High-Frequency Quantitative Ultrasound Elastography for the Mechanical Assessment of Thin Biomaterials In Vitro","year":2025,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Sunnybrook Health Science Centre; Toronto Metropolitan University; University of Toronto; Sunnybrook Hospital; Ted Rogers Centre for Heart Research","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Elastography; Biomedical engineering; Ultrasound; Materials science; In vitro; Ultrasound elastography; High frequency ultrasound; Medicine; Radiology; Chemistry","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":[0.001389172,0.0004832457,0.0001772476,0.0006535813,0.0002183913,0.0003969826,0.0002825252,0.0007610886,0.001355224],"category_scores_gemma":[0.001292816,0.0003954442,0.0001517484,0.0003243684,0.0005349475,0.0007008921,0.0003919861,0.000634237,0.0002544502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398453,"about_ca_system_score_gemma":0.000140433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003180281,"about_ca_topic_score_gemma":0.0008785881,"domain_scores_codex":[0.9995178,0.0002022498,0.00002765238,0.00005736015,0.0001578789,0.00003709802],"domain_scores_gemma":[0.9985306,0.001091348,0.0001086512,0.00009759243,0.0001166605,0.00005502767],"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":[0.00001639821,0.00001161739,0.00007414704,0.0000203209,0.000001595119,0.00001167514,0.00002299105,0.00007437834,0.9987296,0.00005126292,0.000008360807,0.00097762],"study_design_scores_gemma":[0.000008613636,0.0002178826,0.00378118,0.0000165472,0.00001836796,0.0002299132,0.00007723537,0.006065779,0.9885333,0.0001775933,0.000858748,0.00001497472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7659513,0.006968627,0.2228173,0.0003513595,0.00009521967,0.0001159512,0.0002486818,0.0001938144,0.003257836],"genre_scores_gemma":[0.8822814,0.003031483,0.111683,0.0001546809,0.00005178993,0.0001120129,0.0001764849,0.00005669359,0.002452361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001389172,"threshold_uncertainty_score":0.007346749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843638716672908,"score_gpt":0.3511272415450353,"score_spread":0.3326908543783062,"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."}}