{"id":"W2173367702","doi":"10.1038/ncomms9570","title":"The transcriptional landscape of age in human peripheral blood","year":2015,"lang":"en","type":"review","venue":"Nature Communications","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":760,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"National Center for Advancing Translational Sciences; National Institute on Aging; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute for Health and Care Research","keywords":"Transcriptome; Epigenetics; DNA methylation; CpG site; Ageing; Biology; Methylation; Gene; Gene expression; Genetics; Regulation of gene expression; Computational biology; Bioinformatics","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":[0.0004341642,0.0001484295,0.0003274176,0.0000543223,0.0001282767,0.00002033705,0.0009920257,0.0005669052,0.000003086449],"category_scores_gemma":[0.00007048511,0.000108597,0.0001945866,0.000161672,0.0001279497,0.00000152366,0.0001635062,0.0006000691,7.666096e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001372945,"about_ca_system_score_gemma":0.0001743531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004644305,"about_ca_topic_score_gemma":0.0008029716,"domain_scores_codex":[0.9989352,0.0002909704,0.0003779581,0.0001589295,0.0001241952,0.0001127795],"domain_scores_gemma":[0.9982965,0.00005246367,0.0001803148,0.00131657,0.0001202388,0.00003394146],"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":[0.00003312658,0.001357764,0.001215066,0.002654264,0.001107276,0.000005219568,0.0004405444,0.00003638917,0.01511894,0.04754855,0.004096031,0.9263868],"study_design_scores_gemma":[0.0001526206,0.00004282384,0.000113085,0.0002078109,0.0001140592,0.000001745123,0.0000112068,0.000001715196,0.00004378918,0.0001672491,0.9990337,0.0001102149],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002367447,0.9959785,0.000007034565,0.00004919419,0.00007362149,0.0002661648,0.00005679818,0.000003630308,0.003328338],"genre_scores_gemma":[0.01123988,0.985934,0.0004105923,0.000009227419,0.00008098009,0.00007147454,0.001933175,0.00002137823,0.0002993035],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9949377,"threshold_uncertainty_score":0.4428459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04821631296329774,"score_gpt":0.371852450536134,"score_spread":0.3236361375728362,"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."}}