{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007551686,0.0004270467,0.0007773003,0.0001214685,0.0002172535,0.00003460735,0.0004554341,0.001072561,0.0002531389],"category_scores_gemma":[0.000421408,0.000341852,0.0002204554,0.0004584541,0.00025653,0.000008514859,0.0004170029,0.002242989,2.857767e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009819002,"about_ca_system_score_gemma":0.0004322181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087283,"about_ca_topic_score_gemma":0.0006916429,"domain_scores_codex":[0.9972125,0.0003861644,0.0005709977,0.0009581994,0.0004798806,0.0003922887],"domain_scores_gemma":[0.9982924,0.00005999369,0.0004792018,0.0008412886,0.0002272646,0.00009986613],"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":[0.0004739566,0.0001371907,0.0004652704,0.0002992288,0.0003976374,0.00000683112,0.0003957413,0.0002690091,0.1965013,0.0000485585,0.7925293,0.008476001],"study_design_scores_gemma":[0.0007494686,0.00005072963,0.005069487,0.00006865444,0.0001572175,0.0000286396,0.0001125776,0.0001396637,0.01849161,0.00008992533,0.9746676,0.0003744408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3342502,0.5614009,0.00004288119,0.001447984,0.09820474,0.00130858,0.001935392,0.00003026456,0.001379017],"genre_scores_gemma":[0.8312297,0.03446183,0.0002807282,0.001219053,0.01744698,0.001366436,0.00258388,0.0002753767,0.111136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5269392,"threshold_uncertainty_score":0.9999033,"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."}}