{"id":"W3042406747","doi":"10.1038/s41586-020-2499-y","title":"Ageing hallmarks exhibit organ-specific temporal signatures","year":2020,"lang":"en","type":"article","venue":"Nature","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":694,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"U.S. National Library of Medicine; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute on Aging; U.S. Department of Veterans Affairs","keywords":"Ageing; Computational biology; Biology; Evolutionary biology; 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":[0.0001605599,0.0002047793,0.0002821387,0.0005925984,0.0001269288,0.0005778031,0.0001576929,0.0003382744,0.00100961],"category_scores_gemma":[0.0002297506,0.0002317828,0.0002682201,0.000374557,0.0002207732,0.0003697776,0.0003567172,0.0004832489,0.0006811607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054805,"about_ca_system_score_gemma":0.0001471642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003898017,"about_ca_topic_score_gemma":0.0008048452,"domain_scores_codex":[0.9998882,0.000007835882,0.000008264084,0.00003889268,0.00003674112,0.00002016237],"domain_scores_gemma":[0.9997247,0.0000330895,0.000105024,0.0000436291,0.00005347032,0.00004004212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006970768,0.000003802265,0.001786322,0.0000229742,0.000008524622,0.00006632828,0.00002360465,0.00006949679,0.9951009,0.0002081867,0.0001472794,0.002492877],"study_design_scores_gemma":[0.00001393842,0.0001876549,0.3353634,0.00001959065,0.00006634459,0.001975796,0.000177704,0.001980605,0.6471891,0.00124702,0.01173258,0.00004617556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539526,0.006091183,0.02858914,0.0003104229,0.000118302,0.00004327994,0.00486616,0.0008961097,0.005132863],"genre_scores_gemma":[0.9842148,0.002006878,0.005429174,0.0001938053,0.00004564077,0.00005929308,0.002833938,0.0001316388,0.005084738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00100961,"threshold_uncertainty_score":0.003377497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174424349148555,"score_gpt":0.2219152366904466,"score_spread":0.2101709931989611,"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."}}