{"id":"W2985498522","doi":"10.1093/neuonc/noz175.617","title":"PATH-21. CLINICAL UTILITY OF DNA METHYLATION PROFILING FOR DIAGNOSIS OF CHALLENGING CENTRAL NERVOUS SYSTEM TUMORS: THE TORONTO EXPERIENCE","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Subtyping; Ependymoma; Medical diagnosis; DNA methylation; Glioma; Medulloblastoma; Medicine; Pathology; Brain tumor; Oncology; Internal medicine; Biology; Cancer research; Gene; Gene expression; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001464572,0.000441826,0.0002738867,0.0007429343,0.000671495,0.001189889,0.000492429,0.0004946301,0.002710923],"category_scores_gemma":[0.002746815,0.0002301786,0.0002154934,0.00086176,0.0007234066,0.0004767707,0.0007369291,0.0004844675,0.001260061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003818905,"about_ca_system_score_gemma":0.002651686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09887796,"about_ca_topic_score_gemma":0.1536785,"domain_scores_codex":[0.9994366,0.0001301048,0.0000477925,0.0001216708,0.0001765329,0.00008733915],"domain_scores_gemma":[0.9983003,0.0002787233,0.000190664,0.0001348761,0.0006720194,0.0004234892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006539554,0.0001078317,0.710178,0.0002494734,0.00005720246,0.009926523,0.002630005,0.001076256,0.0166045,0.0006528877,0.007243627,0.2506197],"study_design_scores_gemma":[0.00005573051,0.001123865,0.9278315,0.000192778,0.00009265721,0.02395399,0.001871115,0.00420784,0.00835254,0.0004477855,0.03177527,0.00009491713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961527,0.009578149,0.002690405,0.002149587,0.0001288239,0.0001639169,0.001144715,0.0001914474,0.02242586],"genre_scores_gemma":[0.9872869,0.004042278,0.003940414,0.0003999183,0.00008773944,0.00003047542,0.0007216321,0.00005641841,0.003434241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.901122,"threshold_uncertainty_score":0.1966048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05041236766600137,"score_gpt":0.3550329904914273,"score_spread":0.3046206228254259,"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."}}