{"id":"W4210950866","doi":"10.1182/blood.2021014299","title":"Telomeres, aging, and cancer: the big picture","year":2022,"lang":"en","type":"article","venue":"Blood","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research; Terry Fox Research Institute","keywords":"Telomere; Biology; Context (archaeology); Genetics; Cancer; Senescence; Disease; Telomerase; Evolutionary biology; DNA; Medicine; Gene; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001452376,0.0001285814,0.0001851454,0.00006545486,0.0003816577,0.00002076333,0.0001431145,0.00003139494,0.0004225011],"category_scores_gemma":[0.00003067014,0.00008688799,0.00005026022,0.0002570602,0.00009116889,0.00002148791,0.0001385284,0.0003538222,0.000005916618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002324701,"about_ca_system_score_gemma":0.0001283316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003423461,"about_ca_topic_score_gemma":0.0000674116,"domain_scores_codex":[0.9990051,0.00005362256,0.0001399852,0.0002494999,0.0003032546,0.0002485762],"domain_scores_gemma":[0.9994422,0.00004946327,0.00005211472,0.0003246448,0.00002790359,0.0001036967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002108084,0.001244853,0.6232602,0.0003185052,0.0005801927,0.000706062,0.008647439,0.0000202813,0.02843997,0.0009452497,0.02802478,0.3076016],"study_design_scores_gemma":[0.003561437,0.0003114632,0.1767118,0.00005172002,0.0004042844,0.000785926,0.001822149,0.00003260627,0.006679671,0.0001508479,0.8092039,0.0002841205],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745004,0.01806758,0.000003783625,0.005258042,0.0003263191,0.0002672968,0.00003755843,0.00008701024,0.001451967],"genre_scores_gemma":[0.9924213,0.001067736,0.00006104918,0.003061993,0.0004174596,0.00007919937,0.00001225351,0.00002229575,0.002856694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7811791,"threshold_uncertainty_score":0.462609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532761594304906,"score_gpt":0.2490442419186859,"score_spread":0.2337166259756368,"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."}}