{"id":"W2900142401","doi":"10.1093/neuonc/noy148.1067","title":"TMIC-07. HYPOXIC MICROENVIRONMENT CONFERS SPECIFIC ALTERATIONS IN DNA METHYLATION PROFILES IN GLIOBLASTOMA","year":2018,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Western Hospital; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"DNA methylation; Biology; Laser capture microdissection; Epigenetics; Cancer research; Glioma; Methylation; HIF1A; microRNA; Tumor microenvironment; CpG site; Angiogenesis; Hypoxia (environmental); Wnt signaling pathway; Epigenomics; Microdissection; Pathology; Gene expression; Gene; Medicine; Genetics; Chemistry","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":[0.00009245242,0.0001266107,0.0002127242,0.0003023559,0.0001429396,0.0001606311,0.00008471979,0.0001160414,0.002456906],"category_scores_gemma":[0.0001287267,0.00009104118,0.0001240775,0.0002401155,0.0001256597,0.00003967879,0.0001132442,0.0001876886,0.0003695008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039101,"about_ca_system_score_gemma":0.0002625265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002661599,"about_ca_topic_score_gemma":0.005152361,"domain_scores_codex":[0.9999127,0.000008951758,0.00000549094,0.00001702185,0.00002322237,0.00003260134],"domain_scores_gemma":[0.999935,0.000005852139,0.0000164337,0.000005383356,0.000007486427,0.0000297753],"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":[0.0009686929,0.00007945648,0.01286171,0.00003920939,0.00001696424,0.0001461845,0.00006300786,0.0001514249,0.979814,0.00007850847,0.0004981821,0.005282756],"study_design_scores_gemma":[0.00005629377,0.001972935,0.6105507,0.00001473311,0.00008614184,0.001680477,0.0001922613,0.002181749,0.3788851,0.0001461614,0.004219172,0.00001434586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971308,0.0001908603,0.0003088323,0.00002748511,0.000005449625,0.00001210043,0.001142288,0.00004160355,0.001140505],"genre_scores_gemma":[0.9951302,0.0001429204,0.0004092156,0.0000336347,0.000002704659,0.00003182833,0.002866398,0.0000148307,0.001368263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002661599,"threshold_uncertainty_score":0.008219182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694169057177159,"score_gpt":0.2735917010962667,"score_spread":0.2566500105244952,"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."}}