{"id":"W3037167876","doi":"10.1093/jnen/nlaa051","title":"Exploring DNA Methylation for Prognosis and Analyzing the Tumor Microenvironment in Pleomorphic Xanthoastrocytoma","year":2020,"lang":"en","type":"article","venue":"Journal of Neuropathology & Experimental Neurology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Center for Advancing Translational Sciences; Friedberg Charitable Foundation; Making Headway Foundation; Georgia Clinical and Translational Science Alliance","keywords":"Pleomorphic xanthoastrocytoma; CDKN2A; DNA methylation; Tumor microenvironment; Epigenetics; Immune system; CD8; Methylation; Biology; Immunotherapy; Cancer research; Pathology; Astrocytoma; Oncology; Medicine; Internal medicine; Glioma; Immunology; DNA; Gene; Cancer; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003017572,0.0002316632,0.0002235481,0.00064308,0.0001513595,0.0002459316,0.0001054434,0.0001887298,0.000496838],"category_scores_gemma":[0.0005107922,0.0001188813,0.0001178351,0.0003615844,0.0001213808,0.0001476359,0.0001649646,0.0001663224,0.0001687831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038202,"about_ca_system_score_gemma":0.00008137889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007576568,"about_ca_topic_score_gemma":0.001291133,"domain_scores_codex":[0.9999058,0.00002987714,0.000007343155,0.00002287278,0.00001809764,0.0000159589],"domain_scores_gemma":[0.9998367,0.00005680193,0.00005136415,0.00001002651,0.00001931164,0.00002580755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006357859,0.00003974159,0.9429528,0.00003197129,0.00005593852,0.0002697263,0.0001557927,0.0002256069,0.0409745,0.00001684293,0.00006038506,0.01458094],"study_design_scores_gemma":[0.000008201012,0.0003111148,0.9901244,0.000007378852,0.0000586439,0.0009515386,0.0001439872,0.001233276,0.006744254,0.00006689844,0.0003453007,0.000004974696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999105,0.000468117,0.0002323653,0.00001143021,0.000001327665,0.000002986618,0.00006127977,0.000005794594,0.0001116874],"genre_scores_gemma":[0.9993924,0.0001401954,0.0002892149,0.00000458126,0.000003223313,0.000003591745,0.00006652931,0.000001972543,0.00009829133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007576568,"threshold_uncertainty_score":0.001662076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07991492727576992,"score_gpt":0.2830531855512474,"score_spread":0.2031382582754774,"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."}}