{"id":"W4402701778","doi":"10.1101/2024.09.13.24313620","title":"Longitudinal changes in epigenetic clocks predict survival in the InCHIANTI cohort","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Otago; Canadian Institute for Advanced Research; National Institutes of Health; University of California","keywords":"Epigenetics; Longitudinal study; Proportional hazards model; Demography; Medicine; Biology; Gerontology; Internal medicine; Genetics; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008098539,0.0002486169,0.0002367479,0.0004660773,0.0002663438,0.0004687035,0.0003554659,0.0003042453,0.002662429],"category_scores_gemma":[0.001536832,0.0002602403,0.0003380863,0.0006246212,0.0001334088,0.0002411949,0.0003768397,0.0005176192,0.0004135431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002580792,"about_ca_system_score_gemma":0.0002570751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035018,"about_ca_topic_score_gemma":0.01133352,"domain_scores_codex":[0.9997911,0.00005690056,0.000007722437,0.00006617169,0.00002716686,0.00005091989],"domain_scores_gemma":[0.998857,0.0001766751,0.0004191395,0.000270231,0.0001206167,0.0001563045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004716312,0.00002420737,0.9963642,0.000009651671,0.00006579004,0.00004238316,0.00008990632,0.00004131585,0.0003274628,0.00002938003,0.0007679758,0.001766064],"study_design_scores_gemma":[0.00001334109,0.00005680121,0.999213,0.00000570149,0.00005448113,0.00005007758,0.00005234709,0.0001749358,0.00005945334,0.00002843216,0.0002883465,0.000003088604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973307,0.000303045,0.000127809,0.0001043925,0.00001587413,0.000006135389,0.00124025,0.00001280552,0.000858949],"genre_scores_gemma":[0.9983376,0.0001316573,0.0001009041,0.00003088932,0.00003329704,0.00001433853,0.0008657079,0.000005833781,0.0004797047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035018,"threshold_uncertainty_score":0.02057987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218455186409197,"score_gpt":0.283616276839123,"score_spread":0.2614317249750311,"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."}}