{"id":"W2566314035","doi":"10.1161/circresaha.116.309421","title":"Telomere Shortening, Regenerative Capacity, and Cardiovascular Outcomes","year":2016,"lang":"en","type":"article","venue":"Circulation Research","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Center for Advancing Translational Sciences; National Institute of Allergy and Infectious Diseases; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Telomere; Regenerative medicine; Biology; Regeneration (biology); Medicine; Cardiology; Cell biology; Stem cell; Internal medicine; Genetics; DNA","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":[0.001272783,0.0001590801,0.0004067071,0.0003710016,0.0002740349,0.00005264844,0.0001042024,0.0001368938,0.0002261257],"category_scores_gemma":[0.0006524524,0.0001036573,0.0001690614,0.0004279538,0.0004161075,0.0001938652,0.00008220043,0.0002624011,0.0001065619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133778,"about_ca_system_score_gemma":0.0001251131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001974434,"about_ca_topic_score_gemma":0.00003285353,"domain_scores_codex":[0.9973271,0.0002674666,0.0002565534,0.0005246735,0.001161969,0.0004622088],"domain_scores_gemma":[0.9982002,0.0002707826,0.000030238,0.0006444366,0.000567389,0.000286913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003768759,0.00005701707,0.8899862,0.00007270945,0.0003368341,0.0000662086,0.0005045203,0.00001127038,0.03188653,0.002287162,0.0009786392,0.07377527],"study_design_scores_gemma":[0.001340178,0.00008869221,0.9866897,0.0001344563,0.00005264987,0.00009663274,0.0002603765,0.0002498614,0.005897848,0.0006609229,0.004332665,0.0001959484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917352,0.001317054,0.001347463,0.001855712,0.00009063635,0.0005340079,0.000009629353,0.00007931118,0.003030945],"genre_scores_gemma":[0.997353,0.0002478365,0.0004015106,0.00008688896,0.0001814204,0.00004266124,0.000006747521,0.00002806036,0.001651869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09670361,"threshold_uncertainty_score":0.4227023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1776463948140325,"score_gpt":0.3744514053934968,"score_spread":0.1968050105794642,"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."}}