{"id":"W2335782222","doi":"10.1016/j.jacc.2016.01.061","title":"Telomere Length and Risk of Myocardial Infarction in a MultiEthnic Population","year":2016,"lang":"en","type":"letter","venue":"Journal of the American College of Cardiology","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Telomere; Medicine; Oxidative stress; Myocardial infarction; Cellular Aging; Gene; Inflammation; Population; Population ageing; Internal medicine; Genetics; Cardiology; Bioinformatics; Biology; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004620185,0.0001826114,0.0004072036,0.0003167822,0.000640763,0.0006057901,0.0002246628,0.00239241,0.0009459677],"category_scores_gemma":[0.002364253,0.0001938021,0.0002881775,0.0005316272,0.0002292338,0.0003330857,0.0002290656,0.002043514,0.0002056347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575724,"about_ca_system_score_gemma":0.0002939756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002440189,"about_ca_topic_score_gemma":0.004435298,"domain_scores_codex":[0.9998295,0.00006403369,0.00002035547,0.00003192972,0.00003204475,0.00002204564],"domain_scores_gemma":[0.9994849,0.0001635873,0.0001197382,0.00004561513,0.00007362039,0.0001124471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009526667,0.0001911386,0.966338,0.00004692504,0.0002622413,0.002975442,0.0005237901,0.0001400136,0.001700186,0.0004154859,0.009572758,0.01688145],"study_design_scores_gemma":[0.0001402419,0.0004383786,0.9787546,0.00008552583,0.000407078,0.004640782,0.0009096544,0.001202449,0.0002878904,0.001551564,0.01154567,0.00003632394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080483,0.007765437,0.0002896858,0.07617542,0.001509344,0.00001527633,0.000421038,0.0000239934,0.00575158],"genre_scores_gemma":[0.973473,0.003226004,0.0002829232,0.01340646,0.00686376,0.00002515755,0.0001404697,0.000008430013,0.002573938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002440189,"threshold_uncertainty_score":0.004851997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142944389531129,"score_gpt":0.2579918711111898,"score_spread":0.2465624272158785,"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."}}