{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001044154,0.0004452815,0.0002395733,0.0007126395,0.0001514093,0.0003936103,0.0003386161,0.0005628067,0.001958879],"category_scores_gemma":[0.002393159,0.0001197672,0.0001808606,0.0004998056,0.0005958593,0.0002472289,0.0002981284,0.000621713,0.0002382044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002019869,"about_ca_system_score_gemma":0.0002715486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009510639,"about_ca_topic_score_gemma":0.0007512927,"domain_scores_codex":[0.9997712,0.00009039925,0.0000202411,0.00004542548,0.00004622707,0.00002645986],"domain_scores_gemma":[0.9977067,0.0008331893,0.000970983,0.00006174834,0.0001414269,0.0002859525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001074211,0.0001189725,0.9822351,0.0001851199,0.000124565,0.00008591145,0.00005313709,0.0004127655,0.002481904,0.0001417419,0.0002922445,0.01279436],"study_design_scores_gemma":[0.0000403574,0.0008876554,0.9955403,0.00008647662,0.00009445002,0.0004744132,0.0000595104,0.0008929749,0.0007135655,0.0005431762,0.0006528668,0.00001420965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848315,0.01153482,0.0009003267,0.001012855,0.00003408147,0.00002783487,0.0007710279,0.00002260875,0.0008651812],"genre_scores_gemma":[0.9965135,0.002007039,0.0005461659,0.0001595452,0.0001033596,0.00002522138,0.0004113031,0.000002412923,0.0002314584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001958879,"threshold_uncertainty_score":0.006553113,"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."}}