{"id":"W4211205853","doi":"10.1002/anbr.202100159","title":"Revealing Layer‐Specific Ultrastructure and Nanomechanics of Fibrillar Collagen in Human Aorta via Atomic Force Microscopy Testing: Implications on Tissue Mechanics at Macroscopic Scale","year":2022,"lang":"en","type":"article","venue":"Advanced NanoBiomed Research","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Deutsches Krebsforschungszentrum; Fonds de Recherche du Québec-Société et Culture; McGill University","keywords":"Nanomechanics; Nanoindentation; Indentation; Extracellular matrix; Adventitia; Stiffness; Materials science; Ultrastructure; Aorta; Elasticity (physics); Biomedical engineering; Atomic force microscopy; Biophysics; Anatomy; Composite material; Chemistry; Nanotechnology; Medicine; Biology","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":[0.0005069993,0.0001953358,0.0003182132,0.0004372594,0.0006068739,0.00003091827,0.0003147921,0.0001097938,0.00004410293],"category_scores_gemma":[0.0000487148,0.0002269962,0.00002749028,0.001134025,0.00006257948,0.00009820061,0.0003124534,0.0003010157,0.00000397482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004798518,"about_ca_system_score_gemma":0.00003908974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002652653,"about_ca_topic_score_gemma":0.00003157521,"domain_scores_codex":[0.9981023,0.0001134628,0.0004327964,0.0004255807,0.0003330352,0.0005928198],"domain_scores_gemma":[0.9990621,0.0002547363,0.00006805204,0.0003964288,0.0001095006,0.0001092382],"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":[0.0000474902,0.00001947673,0.00006759649,0.0001880654,0.000008436426,0.000003851947,0.000252849,0.03279876,0.9648153,0.000668959,0.00003143226,0.001097842],"study_design_scores_gemma":[0.0006361012,0.0002940495,0.0001628308,0.0001117542,0.000004710175,0.00002167873,0.0001271953,0.005943839,0.9855194,0.006030049,0.0009312478,0.0002171106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945489,0.0005222912,0.00362123,0.00004013483,0.0002316876,0.0006895887,0.0001941529,0.00008663648,0.00006534223],"genre_scores_gemma":[0.994377,0.0002001576,0.004988935,0.00001220603,0.00003426961,0.0001264405,0.0000662398,0.00006984743,0.0001249668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02685492,"threshold_uncertainty_score":0.9256638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564984734723001,"score_gpt":0.3241298160570786,"score_spread":0.2884799687098485,"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."}}