{"id":"W2898462077","doi":"10.3390/cells7110183","title":"Telomere Length Calibration from qPCR Measurement: Limitations of Current Method","year":2018,"lang":"en","type":"article","venue":"Cells","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Institute of Allergy and Infectious Diseases; Division of Cancer Epidemiology and Genetics, National Cancer Institute; Health Resources and Services Administration; Office of Naval Research; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Telomere; Calibration; Current (fluid); Computational biology; Biology; Computer science; Genetics; Statistics; DNA; Mathematics; Engineering","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":[0.0002793706,0.0001454771,0.0002885723,0.0001163275,0.00007613276,0.00001388297,0.0001056278,0.00007439384,0.0002948905],"category_scores_gemma":[0.0002375682,0.0001278589,0.00009095264,0.0002656243,0.0001141877,0.0001083814,0.00002619491,0.0001391449,0.0001312529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000550417,"about_ca_system_score_gemma":0.000168857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011639,"about_ca_topic_score_gemma":0.00006420864,"domain_scores_codex":[0.9985858,0.00009850485,0.0003549165,0.0002816232,0.0004782843,0.0002008336],"domain_scores_gemma":[0.9987922,0.0001619748,0.0001379969,0.000375522,0.0003891999,0.0001430793],"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":[0.0001371154,0.0004741281,0.002650679,0.0001306235,0.0001174429,0.000005152947,0.003214019,0.000005899588,0.7509753,0.0007832131,0.0109997,0.2305067],"study_design_scores_gemma":[0.001049789,0.0002763378,0.01239862,0.0002406296,0.0002078987,0.000002805895,0.0004021617,0.001347915,0.915848,0.0005821739,0.06743602,0.0002076076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.808695,0.008178301,0.1576845,0.001719198,0.004198708,0.001709228,0.0002341964,0.0003599836,0.01722089],"genre_scores_gemma":[0.9852981,0.0003530627,0.01335379,0.0001877224,0.0005187314,0.00001106668,0.00004734524,0.00002318263,0.0002070147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2302991,"threshold_uncertainty_score":0.5213937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1644718863518004,"score_gpt":0.330300996049843,"score_spread":0.1658291096980427,"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."}}