{"id":"W2152434143","doi":"10.1126/scitranslmed.3001262","title":"Personalized Epigenomic Signatures That Are Stable Over Time and Covary with Body Mass Index","year":2010,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":336,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"National Institute of Environmental Health Sciences; National Human Genome Research Institute; National Institute on Aging; National Institutes of Health","keywords":"Epigenomics; DNA methylation; Phenome; Trait; Biology; Computational biology; Genome; Genetics; Signature (topology); Methylation; Bioinformatics; DNA; Gene; Computer science; Gene expression; Mathematics","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":[0.0001946601,0.0001092959,0.0002374974,0.0004357479,0.0001476011,0.0002419076,0.0001350382,0.0001565159,0.0009966675],"category_scores_gemma":[0.0006513874,0.000103422,0.0001556475,0.0004727681,0.0001207263,0.0001361155,0.0001936756,0.0002072688,0.00009965378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060424,"about_ca_system_score_gemma":0.00008710106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113575,"about_ca_topic_score_gemma":0.00311553,"domain_scores_codex":[0.9998518,0.00002910478,0.000008198536,0.00006031818,0.00002532615,0.0000252642],"domain_scores_gemma":[0.9996547,0.00009415652,0.0001260038,0.00006089664,0.00003491675,0.00002941996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005989243,0.00003488102,0.6970465,0.00005255734,0.0004175833,0.0002870644,0.0003309901,0.0006174358,0.270632,0.0002366311,0.0002812894,0.02946418],"study_design_scores_gemma":[0.00000331076,0.0000568071,0.991054,0.000001898916,0.00006756016,0.0004003087,0.00005385651,0.0003997655,0.007386432,0.000119673,0.0004514903,0.00000490129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964693,0.0002362099,0.002226413,0.00002864201,0.000002381374,0.000006288893,0.0006414292,0.00002515732,0.0003642786],"genre_scores_gemma":[0.9981103,0.00006607702,0.0009334537,0.00002451366,0.000004319764,0.000006214781,0.0005439451,0.000008261482,0.0003029197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001113575,"threshold_uncertainty_score":0.003334224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00809277334463245,"score_gpt":0.253256217549823,"score_spread":0.2451634442051905,"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."}}