{"id":"W4407921706","doi":"10.1007/s11357-025-01568-y","title":"SenSkin™: a human skin-specific cellular senescence gene set","year":2025,"lang":"en","type":"article","venue":"GeroScience","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institute on Aging; Canadian Institutes of Health Research; Noaber Foundation; Wellcome Trust; Foundation for the National Institutes of Health; Hevolution Foundation","keywords":"Photoaging; Senescence; Gene; Phenotype; Biology; Gene expression; Skin Aging; Cell; RNA; Cell type; Downregulation and upregulation; Computational biology; Cell biology; Genetics; Medicine; Dermatology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004249506,0.0002794162,0.0003816508,0.0003046511,0.0004835854,0.00009702321,0.0004436004,0.0001253493,0.0001466191],"category_scores_gemma":[0.00007635128,0.0002535611,0.0001322415,0.001419701,0.0005933955,0.0001599611,0.0001595874,0.0002837179,0.0001945825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230972,"about_ca_system_score_gemma":0.0002231651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007566191,"about_ca_topic_score_gemma":0.000009501813,"domain_scores_codex":[0.9973806,0.0000587964,0.0004073572,0.0008681463,0.0005965868,0.0006885846],"domain_scores_gemma":[0.9984944,0.00006218607,0.00009761946,0.0009355368,0.0001545027,0.0002557227],"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":[0.00003121895,0.0001178402,0.009718293,0.00006423921,0.00000778001,0.0001723682,0.000392589,0.000003943426,0.9793201,0.001517974,0.003918373,0.00473525],"study_design_scores_gemma":[0.001146648,0.0001944699,0.1137395,0.0002892774,0.0000403706,0.0001103905,0.0003590885,0.0003477649,0.8031675,0.0003067836,0.07981219,0.0004860307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774504,0.001011696,0.01377114,0.0008823779,0.0009345558,0.0004564038,0.00001536448,0.0002351702,0.005242915],"genre_scores_gemma":[0.9868798,0.0002305134,0.002120679,0.001444522,0.0001721299,0.00001680795,0.00001714716,0.00001870963,0.009099676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1761526,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02861473782815162,"score_gpt":0.2973021340256797,"score_spread":0.2686873961975281,"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."}}