{"id":"W2767269234","doi":"10.1093/neuonc/nox168.787","title":"PDTM-23. THE ACTIVE REGULATORY LANDSCAPE OF EPENDYMAL TUMORS","year":2017,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Biology; Chromatin; Computational biology; Enhancer; Ependymoma; Epigenomics; Lineage (genetic); Transcription factor; Targeted therapy; Cancer research; DNA methylation; Gene; Genetics; Cancer; Gene expression; 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":[0.0001218472,0.0002301562,0.0002100424,0.0002668157,0.0003009129,0.0004632854,0.0002365101,0.0002657137,0.002530673],"category_scores_gemma":[0.000163087,0.0001804301,0.0002121791,0.0002499679,0.0001818079,0.0001525859,0.0002439163,0.0006666312,0.0008430242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000569136,"about_ca_system_score_gemma":0.0004236608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646622,"about_ca_topic_score_gemma":0.003104249,"domain_scores_codex":[0.9998926,0.000007154183,0.00000423839,0.00004033555,0.00003627011,0.00001941905],"domain_scores_gemma":[0.9999511,0.000009514116,0.000009813581,0.000008362168,0.000007939022,0.00001329389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000273544,0.00004430715,0.00360361,0.0002331035,0.00003338705,0.0002667203,0.00004408075,0.001328557,0.9533464,0.0009634826,0.002457059,0.03740578],"study_design_scores_gemma":[0.00005661926,0.0002657109,0.02803214,0.00002646054,0.00006669942,0.001026446,0.00005939932,0.003790726,0.8776811,0.000955672,0.0880223,0.00001683006],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9155021,0.01208437,0.02961251,0.0008720781,0.000177184,0.0002593651,0.01927488,0.00191308,0.0203043],"genre_scores_gemma":[0.9554798,0.002826181,0.01059973,0.0003720734,0.000015968,0.0002338985,0.01469095,0.0001934296,0.015588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002530673,"threshold_uncertainty_score":0.008465886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228482971737915,"score_gpt":0.2726316945119013,"score_spread":0.2603468647945221,"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."}}