{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000566109,0.0007049839,0.001073061,0.00192767,0.0002769291,0.0008473647,0.0005844816,0.0009359362,0.003284926],"category_scores_gemma":[0.0006582576,0.0002138372,0.00062781,0.001123105,0.000358437,0.0009495337,0.0006204261,0.001463763,0.001345484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000435274,"about_ca_system_score_gemma":0.0009239999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006914094,"about_ca_topic_score_gemma":0.001334251,"domain_scores_codex":[0.9998293,0.00003452096,0.00002541811,0.0000281253,0.00006270331,0.00001990723],"domain_scores_gemma":[0.9997662,0.0001137012,0.00002982785,0.000008859197,0.00006317833,0.00001829038],"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":[0.0000805778,0.00009391955,0.0001726977,0.0250718,0.0001331029,0.0001889171,0.0000899895,0.0003442059,0.003818953,0.004554718,0.01763731,0.9478139],"study_design_scores_gemma":[0.00002268212,0.0002149046,0.0008878043,0.006776664,0.0002049826,0.001225349,0.00008043519,0.0001245103,0.001549985,0.002151038,0.9867373,0.00002430795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001396894,0.998759,0.0001068828,0.0001747327,0.0001594278,0.000005515698,0.00001289067,0.000006697064,0.0006352034],"genre_scores_gemma":[0.0008967606,0.9983637,0.000144966,0.0001233769,0.00009324159,0.000007700984,0.00001841122,0.000001219551,0.0003506357],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003284926,"threshold_uncertainty_score":0.01098919,"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."}}