{"id":"W4387949317","doi":"10.1159/000534756","title":"Cellular Senescence in Human Skin Aging: Leveraging Senotherapeutics","year":2023,"lang":"en","type":"review","venue":"Gerontology","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; National Institute on Aging; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Noaber Foundation","keywords":"Skin Aging; Senescence; Context (archaeology); Extracellular matrix; Human skin; Photoaging; Ageing; Phenotype; Cell biology; Dermis; Biology; Medicine; Pathology; Dermatology; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004908668,0.0006930032,0.002975356,0.0007600848,0.0001212942,0.0000283674,0.0004273761,0.0007595416,0.0001437881],"category_scores_gemma":[0.00006367703,0.0006368064,0.0004565536,0.0007361613,0.0002162058,0.00005362101,0.0001365686,0.00110155,0.0003646809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376867,"about_ca_system_score_gemma":0.0004556406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004635286,"about_ca_topic_score_gemma":0.000441397,"domain_scores_codex":[0.9961748,0.000354668,0.001146623,0.0009946553,0.0003344029,0.0009948747],"domain_scores_gemma":[0.9981595,0.0002663932,0.0003704639,0.000938427,0.00006313729,0.0002021294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001266753,0.0001588119,0.0006536826,0.02222877,0.0002715238,0.002800255,0.001171647,7.094176e-7,0.0001391025,0.000316854,0.0004744572,0.9717715],"study_design_scores_gemma":[0.0006634349,0.00009256676,0.0002922053,0.01014394,0.0005745534,0.0005070926,0.0001363038,0.00002075058,0.00003843809,0.0000711395,0.9868168,0.000642792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004155636,0.9965008,0.0003367338,0.0001821225,0.0006901022,0.0009163278,0.00001148717,0.0002775908,0.0006692258],"genre_scores_gemma":[0.0009569037,0.9940785,0.0002739661,0.0003373161,0.000500554,0.00008340635,0.0001873311,0.0001771047,0.003404897],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9863423,"threshold_uncertainty_score":0.9996083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.211263992765432,"score_gpt":0.412444937202126,"score_spread":0.201180944436694,"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."}}