{"id":"W4225163880","doi":"10.2174/1574893617666220428140637","title":"Deep Learning for Aging Research with DNA Methylation","year":2022,"lang":"en","type":"article","venue":"Current Bioinformatics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"DNA methylation; Computational biology; Psychology; Artificial intelligence; Biology; Computer science; Genetics; Gene; Gene expression","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":[0.001202286,0.00009736567,0.00009625922,0.0001282725,0.0005568768,0.00004702859,0.0001518088,0.00003701854,0.00001362118],"category_scores_gemma":[0.0001539676,0.00009130381,0.0000536856,0.0002029486,0.00004068868,0.000007832305,0.000171467,0.0002299207,0.000003722256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003863422,"about_ca_system_score_gemma":0.0001187181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001546928,"about_ca_topic_score_gemma":0.000003246271,"domain_scores_codex":[0.9989141,0.0001225504,0.0002483672,0.0001486744,0.0003122792,0.0002540518],"domain_scores_gemma":[0.9993593,0.00005196632,0.000126093,0.0001937612,0.0002106268,0.00005831792],"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":[0.0001904763,0.0002061829,0.005154599,0.0003967496,0.00006810418,4.448922e-7,0.001614169,0.04472092,0.04727846,0.001298717,0.001318327,0.8977529],"study_design_scores_gemma":[0.0009043387,0.001365709,0.0006108289,0.00002805443,0.00002829194,0.000005023709,0.002127513,0.09590321,0.06313545,0.0007174533,0.8348061,0.0003679846],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5689079,0.008017751,0.4181519,0.0001299636,0.0006037995,0.001087246,0.00001912034,0.00004017799,0.003042118],"genre_scores_gemma":[0.9875275,0.0002971969,0.01039483,0.00002832613,0.0002057703,0.0002341731,0.000968486,0.00002743895,0.0003162395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8973849,"threshold_uncertainty_score":0.4283102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06024735989320856,"score_gpt":0.3541544203013262,"score_spread":0.2939070604081176,"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."}}