{"id":"W4386999399","doi":"10.1093/noajnl/vdad114","title":"Corrigendum to: Clinical utility of whole-genome DNA methylation profiling as a primary molecular diagnostic assay for central nervous system tumors—A prospective study and guidelines for clinical testing","year":2023,"lang":"en","type":"erratum","venue":"Neuro-Oncology Advances","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Friedberg Charitable Foundation; Making Headway Foundation","keywords":"DNA methylation; Profiling (computer programming); Genome; Computational biology; Methylation; Medicine; Central nervous system; DNA; Bioinformatics; Biology; Genetics; Internal medicine; Gene; Computer science; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003398519,0.0006523816,0.002919008,0.0002627172,0.0002227266,0.00003031728,0.0002554276,0.0006935464,0.000002070011],"category_scores_gemma":[0.06868125,0.0005492136,0.0005368607,0.0004478268,0.0002589458,0.00009999168,0.0002396836,0.0008475495,0.000005384004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002800593,"about_ca_system_score_gemma":0.001328012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002745605,"about_ca_topic_score_gemma":0.00005881094,"domain_scores_codex":[0.9930547,0.0008807458,0.002994125,0.001794021,0.0005283522,0.0007479824],"domain_scores_gemma":[0.982644,0.01274054,0.001600259,0.0006283243,0.001957302,0.0004296101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003391042,0.00680326,0.8266425,0.005400771,0.001785967,0.002358174,0.0003055213,0.00009029346,0.002578006,0.00009363323,0.04573641,0.1048144],"study_design_scores_gemma":[0.0127707,0.04242675,0.8747,0.002020349,0.005237134,0.0002150407,0.00150429,0.002435657,0.0006586451,0.0004696649,0.05668566,0.0008761202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7951442,0.02123086,0.003549302,0.004054605,0.09699193,0.07296957,0.003712555,0.0009414267,0.001405522],"genre_scores_gemma":[0.8897285,0.002890112,0.05752616,0.003345588,0.01421174,0.02460942,0.004828358,0.0008574127,0.002002669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1039383,"threshold_uncertainty_score":0.999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129381169470403,"score_gpt":0.4376945737889117,"score_spread":0.3083134043185086,"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."}}