{"id":"W2766634454","doi":"10.1093/eurheartj/ehx568","title":"Epigenetics and precision medicine in cardiovascular patients: from basic concepts to the clinical arena","year":2017,"lang":"en","type":"review","venue":"European Heart Journal","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Institutes of Health; National Health and Medical Research Council; Holcim Stiftung zur Förderung der Wissenschaftlichen Fortbildung; Medical Research Council; National Heart, Lung, and Blood Institute; Foundation for Cardiovascular Research","keywords":"Precision medicine; Medicine; Personalized medicine; Epigenetics; Population; Translational medicine; Disease; Bioinformatics; Risk analysis (engineering); Intensive care medicine; Genetics; Environmental health; Pathology; Gene; Biology","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":[0.003442688,0.0002955997,0.0009873385,0.0000810889,0.0002142688,0.00009946575,0.0004902932,0.0001831469,0.00001822773],"category_scores_gemma":[0.001419533,0.000184434,0.0004900324,0.00006111966,0.0001326855,0.000003759473,0.0003411545,0.0005710925,0.00004023033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001902998,"about_ca_system_score_gemma":0.000104073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001266976,"about_ca_topic_score_gemma":0.00001698217,"domain_scores_codex":[0.9957667,0.002269753,0.000897109,0.0005060344,0.0003197453,0.0002406577],"domain_scores_gemma":[0.99819,0.0001396312,0.0003767561,0.0009230625,0.0001284909,0.0002420725],"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":[0.000009422188,0.00002247263,0.002566969,0.00006048911,0.0001476651,0.00001352792,0.00003812589,0.00001158848,0.000007003516,3.128854e-7,0.002517082,0.9946054],"study_design_scores_gemma":[0.0004919695,0.0004043318,0.02573213,0.002062417,0.0002253991,0.00001315422,0.000006199713,0.000001058802,0.000006314501,0.00001190115,0.9708431,0.0002019905],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005421195,0.9920046,0.0003412331,0.00009326901,0.001023792,0.0004384702,0.00003227899,0.000002573005,0.0006425658],"genre_scores_gemma":[0.002245968,0.9937831,0.0003309204,0.0001174147,0.003228843,0.000004317344,0.0001156288,0.00006220341,0.0001116251],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9944034,"threshold_uncertainty_score":0.7521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482658852939909,"score_gpt":0.4312550044043687,"score_spread":0.2829891191103778,"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."}}