{"id":"W3033300810","doi":"10.1101/2020.06.04.134502","title":"Analysis of socioeconomic disadvantage and pace of aging measured in saliva DNA methylation of children and adolescents","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institutes of Health; National Institute on Aging; Deutsche Forschungsgemeinschaft; Jacobs Foundation; Canadian Institute for Advanced Research; University of Texas at Austin; Sage Foundation","keywords":"Socioeconomic status; Disadvantaged; Disadvantage; DNA methylation; Epigenetics; Gerontology; Psychological intervention; Psychology; Pace; Demography; Medicine; Environmental health; Biology; Genetics; Psychiatry; Population; Geography","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":[0.0004381262,0.0001792119,0.0001736186,0.000537022,0.0002630509,0.0003949004,0.0001750543,0.0001942346,0.001077003],"category_scores_gemma":[0.001283723,0.0001526232,0.0002126309,0.0004663661,0.0001152244,0.0001712879,0.0003590285,0.0002378171,0.0001031001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122323,"about_ca_system_score_gemma":0.0001739218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005980336,"about_ca_topic_score_gemma":0.009800946,"domain_scores_codex":[0.9997599,0.00006213797,0.00002089005,0.00006583262,0.00005845656,0.0000329527],"domain_scores_gemma":[0.9993149,0.0001131213,0.0003454523,0.00004693249,0.0001004175,0.00007915172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003713824,0.000009861341,0.9981074,0.000006860332,0.00002317907,0.0000133048,0.000087004,0.00001351905,0.0007375999,0.000008610587,0.00002874927,0.0009267651],"study_design_scores_gemma":[6.798718e-7,0.00002405254,0.9994919,0.000001988661,0.000006792253,0.00003270839,0.0001149428,0.00003714814,0.0002099976,0.000004677423,0.00007418304,7.689555e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993932,0.00007551991,0.00007300024,0.000009084113,0.000001964515,0.000003830499,0.0002972642,0.000001526911,0.0001446801],"genre_scores_gemma":[0.9993089,0.00005903692,0.0002017774,0.00001049035,0.00000233526,0.00001182444,0.0002255855,0.000001678016,0.0001783487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005980336,"threshold_uncertainty_score":0.01189107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008975816097403388,"score_gpt":0.2338366383420739,"score_spread":0.2248608222446705,"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."}}