{"id":"W4412722045","doi":"10.1080/19485565.2025.2539691","title":"Status, despair, and epigenetic age acceleration: Chains of risk?","year":2025,"lang":"en","type":"article","venue":"Biodemography and Social Biology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Epigenetics; Acceleration; Demography; Medicine; Genetics; Biology; Sociology; Physics; Gene","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":[0.004653573,0.0003712263,0.0004638605,0.0005894815,0.0004885461,0.001430854,0.0006061505,0.0005056334,0.005499986],"category_scores_gemma":[0.01457641,0.0002875611,0.0009062095,0.0006403695,0.001696913,0.001449138,0.002122861,0.001142062,0.0002253948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143757,"about_ca_system_score_gemma":0.001142784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008686027,"about_ca_topic_score_gemma":0.01099508,"domain_scores_codex":[0.9984599,0.0008300949,0.00007564377,0.000337552,0.000120843,0.0001759394],"domain_scores_gemma":[0.9935134,0.003329211,0.001318754,0.001137765,0.000268494,0.0004323882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003369321,0.0001315977,0.956898,0.00009745452,0.0004650022,0.0001112102,0.002856128,0.0008528061,0.0004502531,0.0134263,0.0003088857,0.02406548],"study_design_scores_gemma":[0.00002114556,0.0003749941,0.9566215,0.0001675317,0.0006848544,0.0001546711,0.002854043,0.005759094,0.0005869406,0.03007602,0.002655735,0.00004351238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983918,0.001697451,0.008183063,0.002066347,0.00006667813,0.00005285149,0.0004195561,0.00003171475,0.003564394],"genre_scores_gemma":[0.9980133,0.000261506,0.001036328,0.00008736352,0.00002221605,0.00001963395,0.00009663541,0.000005278512,0.0004576622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008686027,"threshold_uncertainty_score":0.02461076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716034988167601,"score_gpt":0.3447324663386886,"score_spread":0.3175721164570126,"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."}}