{"id":"W4311083725","doi":"10.1038/s41467-022-32328-7","title":"Author Correction: Genomic footprints of activated telomere maintenance mechanisms in cancer","year":2022,"lang":"en","type":"erratum","venue":"Nature Communications","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; BC Cancer Agency; Prostate Cancer Canada; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Calgary; Princess Margaret Cancer Centre; Simon Fraser University; University of Ottawa; McGill University; University of Toronto; McGill University and Génome Québec Innovation Centre; Toronto General Hospital; University Health Network; Genome Canada; Canada's Michael Smith Genome Sciences Centre; Institute of Cancer Research; Ontario Institute for Cancer Research","funders":"Medical Research Council","keywords":"Telomere; Computational biology; Cancer; Biology; Computer science; Bioinformatics; Genetics; DNA","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":[0.00428888,0.001953913,0.001450524,0.003245953,0.003176552,0.00345527,0.003587708,0.005191242,0.04968745],"category_scores_gemma":[0.05276255,0.0009887245,0.001341617,0.002669357,0.00179037,0.002063854,0.002299133,0.01018983,0.02782725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00272444,"about_ca_system_score_gemma":0.004570724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019456,"about_ca_topic_score_gemma":0.01577873,"domain_scores_codex":[0.9952054,0.0006109903,0.0007182667,0.0008006882,0.002343392,0.0003213125],"domain_scores_gemma":[0.9701499,0.007770612,0.001475439,0.002610517,0.01669545,0.001297953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004098695,0.000008366006,0.00009311142,0.0001081248,0.00001378533,0.0003203893,0.00004172624,0.00006597106,0.0002021959,0.001123279,0.9901335,0.007848482],"study_design_scores_gemma":[0.00003549305,0.00001401238,0.0005992114,0.0002094486,0.00004610608,0.0009515858,0.0000747129,0.0002678829,0.001223209,0.001978799,0.9945619,0.00003774171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002854615,0.0007630178,0.002275334,0.0353016,0.9561034,0.00002032057,0.001551205,0.0007118788,0.002987793],"genre_scores_gemma":[0.03499939,0.01160739,0.03024362,0.1094962,0.2831084,0.0003358527,0.01160826,0.006650958,0.51195],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04968745,"threshold_uncertainty_score":0.1662211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03301879009862083,"score_gpt":0.3342225295842788,"score_spread":0.301203739485658,"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."}}