{"id":"W4378905602","doi":"10.3389/fragi.2023.1178566","title":"Quantitative nanohistology of aging dermal collagen","year":2023,"lang":"en","type":"article","venue":"Frontiers in Aging","topic":"Skin Protection and Aging","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"London Centre for Nanotechnology","keywords":"Extracellular matrix; Dermis; Reticular connective tissue; Nanoindentation; Reticular Dermis; Collagen fibril; Atomic force microscopy; Biophysics; Chemistry; Pathology; Anatomy; Materials science; Biology; Medicine; Biochemistry; Nanotechnology; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003058006,0.00008647148,0.0002727846,0.0005978535,0.000056909,0.000005108092,0.00006347302,0.00004950819,0.00002914394],"category_scores_gemma":[0.0001438875,0.00008894654,0.00005542703,0.0007994844,0.00008338926,0.00005554602,0.00003996828,0.00011596,0.00001511557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008694782,"about_ca_system_score_gemma":0.00005604241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005088537,"about_ca_topic_score_gemma":0.000006884379,"domain_scores_codex":[0.9991414,0.00005660287,0.0002318823,0.0001886968,0.0001351203,0.0002463042],"domain_scores_gemma":[0.999664,0.00004919956,0.00007404991,0.0001274139,0.00003929394,0.00004605149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002069417,0.0000974015,0.8692188,0.0005389367,0.0001971716,0.0008260664,0.01166532,0.0005934043,0.04035294,0.001219708,0.04190837,0.03317495],"study_design_scores_gemma":[0.01425041,0.0006875492,0.5820242,0.00364681,0.0003057349,0.0004782217,0.07128812,0.1159025,0.1437605,0.006611145,0.05965857,0.001386272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610559,0.001381653,0.02588591,0.002303405,0.002072117,0.0003720236,0.000002761884,0.0002190311,0.006707213],"genre_scores_gemma":[0.9780443,0.000057293,0.02030608,0.0002607112,0.00004331436,0.00001636437,0.000007533752,0.00001890626,0.001245534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2871946,"threshold_uncertainty_score":0.3627135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612256600842618,"score_gpt":0.3119295775221779,"score_spread":0.2858070115137517,"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."}}