{"id":"W2090355482","doi":"10.1002/cyto.a.10064","title":"Telomere length measurements in leukocyte subsets by automated multicolor flow‐FISH","year":2003,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"National Institute of Allergy and Infectious Diseases; Bernische Krebsliga; Cardiff University; National Cancer Institute; National Science Foundation; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Telomere; Fish <Actinopterygii>; Biology; Computational biology; Leukocyte Counts; Genetics; DNA; Fishery; Immunology","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":[0.0009753435,0.0003813668,0.0003574553,0.0008325895,0.0002776643,0.0004118624,0.0007060062,0.0004512284,0.002126179],"category_scores_gemma":[0.0008876011,0.0002278205,0.000258894,0.000361918,0.0003044014,0.0004744249,0.000462206,0.0005414643,0.000654629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005419579,"about_ca_system_score_gemma":0.0002047978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008248755,"about_ca_topic_score_gemma":0.001353179,"domain_scores_codex":[0.9993719,0.0001285288,0.00005610417,0.0001818597,0.0002103083,0.00005125633],"domain_scores_gemma":[0.9994647,0.0001704302,0.00009098431,0.0001074777,0.0001395209,0.00002681866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002769704,0.00004236555,0.00401256,0.0001047692,0.00002322841,0.00002313277,0.00008127778,0.0007276306,0.9655347,0.0002108915,0.00033323,0.02862923],"study_design_scores_gemma":[0.00005987516,0.0003466526,0.02587757,0.00001704293,0.00005937737,0.0003997878,0.00005109773,0.01193351,0.9565279,0.0005874572,0.004102501,0.0000371813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7803555,0.00224935,0.2107664,0.000236839,0.00005983791,0.0002613087,0.001739091,0.001445179,0.002886467],"genre_scores_gemma":[0.7272986,0.001041624,0.2645746,0.0001788718,0.0000451223,0.0006855389,0.00223515,0.0001353672,0.003805168],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002126179,"threshold_uncertainty_score":0.007112801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04590082002705574,"score_gpt":0.302410412855355,"score_spread":0.2565095928282993,"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."}}