{"id":"W4283398489","doi":"10.1038/s43018-022-00407-9","title":"Author Correction: Loss of MAT2A compromises methionine metabolism and represents a vulnerability in H3K27M mutant glioma by modulating the epigenome","year":2022,"lang":"en","type":"erratum","venue":"Nature Cancer","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Jewish General Hospital; McGill University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; National Institutes of Health; ChadTough Foundation; Pediatric Brain Tumor Foundation; Canadian Institutes of Health Research; American Lebanese Syrian Associated Charities; Alex's Lemonade Stand Foundation for Childhood Cancer","keywords":"Epigenome; Mutant; Methionine; Vulnerability (computing); Glioma; Epigenetics; Biology; Chemistry; Cell biology; Cancer research; Computational biology; Biochemistry; Computer science; DNA methylation; Computer security","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":[0.00226344,0.001755732,0.001479076,0.00242139,0.00241301,0.002456262,0.002702977,0.006121499,0.03049063],"category_scores_gemma":[0.02706808,0.0009041366,0.001210264,0.001324643,0.00167648,0.001461336,0.001382597,0.008810734,0.01796132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002866695,"about_ca_system_score_gemma":0.003119012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01283645,"about_ca_topic_score_gemma":0.01976361,"domain_scores_codex":[0.9978807,0.0002859607,0.0003422919,0.0003652238,0.0009395938,0.0001862287],"domain_scores_gemma":[0.9875346,0.002785615,0.0007659404,0.0007612111,0.007375484,0.0007771669],"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":[0.00006311569,0.000009590373,0.0001462444,0.0001481358,0.00002472888,0.00156168,0.0000414462,0.00009141991,0.0002225439,0.0008120614,0.99014,0.006738944],"study_design_scores_gemma":[0.00005537061,0.00002369587,0.001044077,0.0002286792,0.00007106094,0.003478291,0.00009753201,0.0003894216,0.00142362,0.001232085,0.9919055,0.00005070264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003457824,0.000881484,0.0008597343,0.03651126,0.9582638,0.00001771389,0.0006722833,0.0002936017,0.002154359],"genre_scores_gemma":[0.03884852,0.01083766,0.01056046,0.08781809,0.3612515,0.0002230257,0.002999656,0.002623222,0.4848378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03049063,"threshold_uncertainty_score":0.1020014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107020288200128,"score_gpt":0.3003210162176622,"score_spread":0.2896189873976494,"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."}}