{"id":"W2042680605","doi":"10.1111/febs.12357","title":"Telomere and telomerase: implications for future prospects","year":2013,"lang":"en","type":"article","venue":"FEBS Journal","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telomere; Telomerase; Biology; Computational biology; Evolutionary biology; Genetics; DNA; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001653315,0.0002034813,0.0003239644,0.0001743756,0.0004213738,0.0001550505,0.0001237256,0.0001233703,0.0003787455],"category_scores_gemma":[0.0001201937,0.0001548021,0.000120539,0.0002304968,0.00009240454,0.0002864604,0.00002939345,0.0003859074,0.00006714917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006593562,"about_ca_system_score_gemma":0.0001587512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001124561,"about_ca_topic_score_gemma":0.000005599113,"domain_scores_codex":[0.9987307,0.0000217364,0.0003551388,0.000270323,0.0001874727,0.0004346579],"domain_scores_gemma":[0.9986231,0.00007009985,0.0001497841,0.0002743228,0.0003872314,0.0004955163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002655267,0.0005207137,0.3348478,0.0004336377,0.0003127724,0.00005603292,0.001608934,0.000001689244,0.0711367,0.007520691,0.1872398,0.3960557],"study_design_scores_gemma":[0.002088499,0.0004030707,0.9076526,0.0001093187,0.0001012905,0.003820677,0.0006464647,0.0000418981,0.001689901,0.004697388,0.07846847,0.0002804311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598181,0.00429099,0.0006463416,0.03192528,0.0005462634,0.001247129,0.00003022545,0.00009666524,0.001399037],"genre_scores_gemma":[0.9825827,0.001109665,0.009537229,0.001587941,0.002686211,0.0001357386,0.00001998394,0.00004845165,0.002292062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5728048,"threshold_uncertainty_score":0.6312644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531632031635949,"score_gpt":0.27685359675483,"score_spread":0.2615372764384705,"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."}}