{"id":"W4416085830","doi":"10.1093/neuonc/noaf201.1850","title":"TMIC-96. Integrated multi-omics reveals distinct hypoxic sub-niches and associated epigenomic and genomic alterations in glioblastoma","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Epigenomics; Transcriptome; Hypoxia (environmental); Tumor microenvironment; Glioblastoma; Immune system; Gene; Phylogenetic tree; Cell","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":[0.0004187578,0.0003975425,0.0004933446,0.0007756873,0.0003151375,0.001067153,0.0002995895,0.0002947573,0.001528953],"category_scores_gemma":[0.0003010853,0.0001861185,0.0004067619,0.0009662861,0.0001884304,0.0002548156,0.0003722464,0.000442667,0.0006049368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003955927,"about_ca_system_score_gemma":0.000408436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595827,"about_ca_topic_score_gemma":0.003270413,"domain_scores_codex":[0.9997439,0.0000249547,0.00001650318,0.00009466945,0.00007759911,0.00004248578],"domain_scores_gemma":[0.9998752,0.00002507497,0.00003485222,0.00002736965,0.00001953873,0.00001798453],"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":[0.0005899634,0.0000441817,0.01105577,0.000147999,0.00009175367,0.0001221717,0.00007801149,0.002368735,0.9670884,0.0003830568,0.001507015,0.01652304],"study_design_scores_gemma":[0.00006924338,0.0005062209,0.2178915,0.0000663285,0.0002958294,0.001165369,0.0003799542,0.06386389,0.6827,0.001800797,0.03117992,0.00008094159],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128115,0.00222501,0.02501138,0.0003664815,0.00007892991,0.00008248105,0.05326117,0.001795835,0.004367229],"genre_scores_gemma":[0.901284,0.001454778,0.04162607,0.0002411928,0.0000288915,0.0001364193,0.05161989,0.000311293,0.003297473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001595827,"threshold_uncertainty_score":0.005114853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926231134976417,"score_gpt":0.2920299891187851,"score_spread":0.2727676777690209,"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."}}