{"id":"W4416084900","doi":"10.1093/neuonc/noaf201.0060","title":"EPCO-61. INTEGRATIVE MULTI-OMICS ANALYSIS OF GLIOBLASTOMA IDENTIFIES DRIVERS OF TUMOR AGGRESSION AND RECURRENCE","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":"St. Michael's Hospital; Hospital for Sick Children; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Glioma; Glioblastoma; Brain tumor; Precision medicine; Reprogramming; Cancer; Gene","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":[0.001319809,0.0009107518,0.0008858395,0.001383244,0.000749078,0.001046919,0.0006190877,0.0006877879,0.002264779],"category_scores_gemma":[0.00155882,0.0003427805,0.00108087,0.001317701,0.0002956269,0.0004727075,0.001354073,0.0007451117,0.001194227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000719818,"about_ca_system_score_gemma":0.001685728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006103631,"about_ca_topic_score_gemma":0.01147338,"domain_scores_codex":[0.9993309,0.00007676573,0.00005292555,0.0002618755,0.0001650019,0.0001126701],"domain_scores_gemma":[0.9990937,0.0001521957,0.0001720684,0.0001733686,0.0002715807,0.0001371982],"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":[0.004176957,0.0004775268,0.1586834,0.002232707,0.001351911,0.001032438,0.0004114935,0.01725211,0.6424059,0.004508804,0.07083103,0.09663578],"study_design_scores_gemma":[0.0008807331,0.001702779,0.4733146,0.0004852246,0.001339934,0.001548208,0.0004449337,0.1784032,0.2059057,0.01089661,0.1247459,0.0003322394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6106088,0.002610531,0.03846837,0.001152821,0.0002545883,0.0004496324,0.3322389,0.007321824,0.006894561],"genre_scores_gemma":[0.3665777,0.001192537,0.05782949,0.0008740649,0.00008913297,0.0008251975,0.5684851,0.0009698162,0.003156947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006103631,"threshold_uncertainty_score":0.01213622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627314838724561,"score_gpt":0.3281350211774062,"score_spread":0.3118618727901606,"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."}}