{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001253984,0.0008877056,0.001073908,0.000843064,0.0003301197,0.0008490398,0.001208657,0.00102006,0.003192893],"category_scores_gemma":[0.003448681,0.0003698039,0.001007959,0.0009146464,0.000434646,0.001189687,0.001315334,0.002192943,0.001259159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008155296,"about_ca_system_score_gemma":0.001459442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005618528,"about_ca_topic_score_gemma":0.008162558,"domain_scores_codex":[0.9996955,0.00009383247,0.00001573095,0.00009779335,0.00005628722,0.00004089647],"domain_scores_gemma":[0.9991282,0.0004499992,0.00007491706,0.00013267,0.0001249122,0.0000893501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005318241,0.0003039109,0.01351971,0.0007656015,0.0008847985,0.0001559463,0.00008646611,0.1008213,0.01268081,0.02594158,0.04133028,0.8029778],"study_design_scores_gemma":[0.00004450897,0.0001153469,0.003032515,0.0001263839,0.0002275917,0.00009185878,0.0000295451,0.8297342,0.00852525,0.1388703,0.01916854,0.000033986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04363588,0.01749899,0.9151542,0.006650313,0.0005922763,0.000090105,0.006446587,0.006106623,0.003824973],"genre_scores_gemma":[0.5971417,0.01151906,0.3585477,0.003457555,0.0010007,0.0003378313,0.01313479,0.0005475443,0.01431303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005618528,"threshold_uncertainty_score":0.0111717,"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."}}