{"id":"W1785227132","doi":"10.1007/s10815-015-0574-3","title":"A single-cell assay for telomere DNA content shows increasing telomere length heterogeneity, as well as increasing mean telomere length in human spermatozoa with advancing age","year":2015,"lang":"en","type":"article","venue":"Journal of Assisted Reproduction and Genetics","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institutes of Health; National Center for Research Resources; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; York University; NYU Langone Medical Center","keywords":"Telomere; Semen; Spermatogenesis; Andrology; Biology; Sperm; Fertility; Genetics; DNA; Endocrinology; Population; Medicine","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":[0.0003658234,0.0001340082,0.0003041643,0.0007650793,0.0002518823,0.0002613059,0.0001759936,0.0003015533,0.001290771],"category_scores_gemma":[0.0005036572,0.0001511488,0.0002041521,0.000644276,0.0002206234,0.0002111235,0.0001526268,0.0004114271,0.0002925051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070966,"about_ca_system_score_gemma":0.0001380566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009029077,"about_ca_topic_score_gemma":0.001467885,"domain_scores_codex":[0.9998963,0.00001245782,0.000009126215,0.00003771714,0.00003195915,0.00001237662],"domain_scores_gemma":[0.999482,0.0002252588,0.0001091146,0.00003574804,0.00007788241,0.00006997926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002798539,0.00002642144,0.01552591,0.00005552654,0.00004219199,0.00003644726,0.0001760631,0.0001037238,0.9776909,0.00007854631,0.00009290037,0.00589164],"study_design_scores_gemma":[0.0000364207,0.001851061,0.3568289,0.00001978321,0.0001564846,0.001251573,0.000240225,0.001368723,0.635406,0.0002483921,0.002549404,0.00004311015],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810447,0.004664368,0.01166285,0.0001080387,0.00002956566,0.00002524196,0.001501299,0.00008029074,0.0008835517],"genre_scores_gemma":[0.9903426,0.001227892,0.005803687,0.00006882194,0.0000245011,0.00003864532,0.001024189,0.00001368491,0.00145586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001290771,"threshold_uncertainty_score":0.004318058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06174746925057008,"score_gpt":0.296764304575574,"score_spread":0.2350168353250039,"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."}}