{"id":"W1974094056","doi":"10.1042/cs20140481","title":"Age-associated telomere attrition of lymphocytes<i>in vivo</i>is co-ordinated with changes in telomerase activity, composition of lymphocyte subsets and health conditions","year":2014,"lang":"en","type":"article","venue":"Clinical Science","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health; AGE-WELL","keywords":"Telomere; Telomerase; Peripheral blood mononuclear cell; Biology; In vivo; Lymphocyte; Immunology; Andrology; Molecular biology; In vitro; Genetics; Medicine; DNA; Gene","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":[0.0002545313,0.0001513588,0.0002099678,0.0003757265,0.0001947554,0.0003182112,0.00009400729,0.000240874,0.001150028],"category_scores_gemma":[0.0003669168,0.0001005737,0.0001751372,0.0003319549,0.0001379332,0.0002016851,0.0001922753,0.000255519,0.0002840493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008866904,"about_ca_system_score_gemma":0.00007039772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007426508,"about_ca_topic_score_gemma":0.0007581681,"domain_scores_codex":[0.9998906,0.00002021425,0.00001144328,0.00003771792,0.00002125664,0.00001884851],"domain_scores_gemma":[0.9997575,0.00003044839,0.0001166141,0.00003290498,0.00003857107,0.00002400223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00133749,0.00008869525,0.7003872,0.0001595051,0.0001171384,0.0005012836,0.0006704305,0.0001673747,0.2700513,0.0001203731,0.0001898001,0.02620942],"study_design_scores_gemma":[0.000003508175,0.0005740492,0.9783201,0.00001168327,0.00004449969,0.001209384,0.0001513094,0.0001147878,0.01807943,0.00007970055,0.001405425,0.000006046468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959253,0.002447305,0.000714906,0.00002169811,0.000008175878,0.000007404352,0.0004407725,0.000008192018,0.0004262217],"genre_scores_gemma":[0.9975865,0.0007652287,0.0003797453,0.00002680257,0.00001532062,0.00001503719,0.0004132221,0.000002675284,0.0007955166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001150028,"threshold_uncertainty_score":0.003847301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06036912778308299,"score_gpt":0.3889417721794175,"score_spread":0.3285726443963345,"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."}}