{"id":"W2618858474","doi":"10.1093/neuonc/nox083.059","title":"EPND-01. 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; Enhancer; Computational biology; Ependymoma; Lineage (genetic); Epigenomics; 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":[0.0004231802,0.0003517381,0.0002895777,0.0004191342,0.0005316061,0.0009545584,0.000609879,0.0005739029,0.008290869],"category_scores_gemma":[0.0006098656,0.0002734136,0.0003168058,0.0004174513,0.0003608659,0.0003494101,0.0007932479,0.001242454,0.002653828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007259083,"about_ca_system_score_gemma":0.0008493771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001622258,"about_ca_topic_score_gemma":0.00252702,"domain_scores_codex":[0.9997407,0.00001828465,0.00001431582,0.0000843758,0.0001039866,0.00003829581],"domain_scores_gemma":[0.999754,0.00005931451,0.00003217805,0.00004439758,0.00004221279,0.00006789789],"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":[0.003613042,0.0004722224,0.05732317,0.001612699,0.0002102893,0.003386487,0.0003644537,0.004204507,0.6644335,0.009296855,0.04742005,0.2076627],"study_design_scores_gemma":[0.0003988764,0.0007871105,0.1155158,0.000173356,0.0002340379,0.007955496,0.0002219802,0.006526232,0.4263803,0.004465577,0.4372806,0.00006066941],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7654569,0.008216743,0.03970855,0.002508049,0.001004592,0.0006483863,0.09699054,0.003874942,0.08159135],"genre_scores_gemma":[0.776405,0.003755032,0.02414888,0.001370578,0.0001004089,0.0007107959,0.1352053,0.0007890011,0.05751494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008290869,"threshold_uncertainty_score":0.02773565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258720451963522,"score_gpt":0.2735688116149333,"score_spread":0.2609816070952981,"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."}}