{"id":"W2897267849","doi":"10.1186/s13148-018-0556-2","title":"Systematic evaluation of DNA methylation age estimation with common preprocessing methods and the Infinium MethylationEPIC BeadChip array","year":2018,"lang":"en","type":"article","venue":"Clinical Epigenetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"National Institute on Aging; European Commission; Michael Smith Health Research BC; European Research Council; National Institutes of Health; British Columbia Lung Association; Canadian Institutes of Health Research; Mitacs; Centre National de la Recherche Scientifique; Canadian Institute for Advanced Research","keywords":"dNaM; DNA methylation; CpG site; Epigenetics; Bioinformatics; Computational biology; Biology; Oncology; Genetics; Medicine; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04208231,0.002042532,0.001435216,0.002578768,0.0009592277,0.0013239,0.001627338,0.0009704179,0.0009319138],"category_scores_gemma":[0.06227332,0.001000284,0.002302788,0.00217238,0.001031379,0.0006335546,0.002130243,0.0009435752,0.0005921252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000797129,"about_ca_system_score_gemma":0.001908341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985645,"about_ca_topic_score_gemma":0.00455721,"domain_scores_codex":[0.9695703,0.01521487,0.002885461,0.005519255,0.006478745,0.0003313007],"domain_scores_gemma":[0.9390372,0.02609895,0.006894338,0.01132596,0.01611298,0.0005305587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004899743,0.0006875848,0.2480977,0.005791619,0.00987648,0.0002835695,0.001281078,0.01514121,0.2816863,0.00166856,0.005535733,0.4250505],"study_design_scores_gemma":[0.0005334689,0.006176491,0.4384086,0.0007905783,0.008485351,0.001414069,0.0004137456,0.06810511,0.4450133,0.00237322,0.02779847,0.0004875259],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.302749,0.01090684,0.6749882,0.0004321992,0.0004103174,0.00235982,0.003618975,0.002524607,0.002009917],"genre_scores_gemma":[0.3777029,0.002587731,0.6075993,0.0005192793,0.0002073393,0.002990274,0.006381932,0.00107191,0.0009393652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04208231,"threshold_uncertainty_score":0.2225552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06449069855221569,"score_gpt":0.4392783768135737,"score_spread":0.374787678261358,"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."}}