{"id":"W4251009049","doi":"10.1093/neuonc/noaa222.185","title":"EPEN-52. METABOLIC REGULATION OF THE EPIGENOME DRIVES LETHAL INFANTILE EPENDYMOMA","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Epigenome; Ependymoma; Epigenetics; Biology; Cancer research; Tumor microenvironment; Acetylation; Cell biology; DNA methylation; Biochemistry; Medicine; Pathology","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":[0.00008184843,0.0001996589,0.0001548753,0.0001576398,0.0001392474,0.0001843583,0.0001540466,0.000277559,0.001719555],"category_scores_gemma":[0.0001307743,0.00008245556,0.0001297719,0.00008664726,0.0002118775,0.00009026327,0.0002156509,0.0004106898,0.000384015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003008182,"about_ca_system_score_gemma":0.0001468684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000655647,"about_ca_topic_score_gemma":0.001054605,"domain_scores_codex":[0.9999157,0.00001311386,0.000006978814,0.00002237298,0.00001892355,0.00002280601],"domain_scores_gemma":[0.9999112,0.0000261679,0.00002293028,0.000009872137,0.000005719437,0.00002414658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001564031,0.00005521069,0.001128766,0.00003085915,0.000006728476,0.001494293,0.00002268019,0.0002395306,0.9918857,0.0004257008,0.0001780891,0.004376119],"study_design_scores_gemma":[0.00001721928,0.0004828243,0.02204049,0.00001292303,0.00001909944,0.004104036,0.00007979128,0.002459135,0.9628128,0.0002650321,0.007697854,0.000008739192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904149,0.001108305,0.003843858,0.0002057248,0.00003771679,0.00003206647,0.0008349725,0.0001424865,0.003380033],"genre_scores_gemma":[0.9966463,0.0003528339,0.0007361212,0.00004252288,0.000003779768,0.00001853914,0.0003288015,0.00001946234,0.001851573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001719555,"threshold_uncertainty_score":0.005752504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368834798923768,"score_gpt":0.2578224894722051,"score_spread":0.2441341414829674,"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."}}