{"id":"W3216533389","doi":"10.1038/s41467-021-27223-6","title":"The telomere length landscape of prostate cancer","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research; Prostate Cancer Canada; Government of Ontario; Instituto Tecnológico de Costa Rica; National Institutes of Health; Ontario Genomics; Genome Canada; Cancer Research UK; Government of Canada; Ontario Institute for Cancer Research; Ontario Genomics Institute; Movember Foundation","keywords":"Telomere; Genome instability; Prostate cancer; Biology; Transcriptome; Cancer; Proteomics; Genomics; Telomerase; Cancer research; Genetics; Indel; Gene; Computational biology; Single-nucleotide polymorphism; Genome; DNA; DNA damage; Genotype; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002089335,0.0001465906,0.0002187371,0.0005391953,0.0001988097,0.000875215,0.0001623694,0.0002538321,0.0009876724],"category_scores_gemma":[0.0002486458,0.000113959,0.0001858642,0.0006793328,0.0002192942,0.0003400015,0.0003513384,0.0004031653,0.0002938448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000382849,"about_ca_system_score_gemma":0.0002680105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006361312,"about_ca_topic_score_gemma":0.0008339487,"domain_scores_codex":[0.9998878,0.00001372167,0.000003925459,0.00003706163,0.00003851515,0.00001895781],"domain_scores_gemma":[0.999882,0.00001798175,0.00004470856,0.000007587756,0.000023202,0.00002447305],"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":[0.0003423878,0.00002784128,0.03430544,0.0004387808,0.0001372934,0.0003766882,0.0003678507,0.001919451,0.8820276,0.003406825,0.00180881,0.07484113],"study_design_scores_gemma":[0.00001918031,0.0006442441,0.7979399,0.0001412769,0.0002468071,0.003603836,0.0008900791,0.005284046,0.09493759,0.01350565,0.08263729,0.0001501718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.904996,0.07481721,0.008489504,0.001646541,0.0000731991,0.00001984432,0.002813255,0.0002650286,0.006879464],"genre_scores_gemma":[0.9826761,0.01214117,0.001832248,0.0003718504,0.00008566026,0.00001533534,0.00104417,0.00003174808,0.0018017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009876724,"threshold_uncertainty_score":0.003304124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939822502537537,"score_gpt":0.3238241539832238,"score_spread":0.3044259289578485,"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."}}