{"id":"W4404237883","doi":"10.1093/neuonc/noae165.1162","title":"TMET-24. MULTI-OMIC CHARACTERIZATION OF THE TEMPORAL METABOLIC ADAPTATIONS UNDERPINNING THERAPY RESISTANCE AND TUMOR RECURRENCE IN GLIOBLASTOMA","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; CancerCare Manitoba; University of Manitoba","funders":"","keywords":"Glioblastoma; Underpinning; Resistance (ecology); Neuroscience; Medicine; Biology; Cancer research; Ecology; Engineering","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":[0.0002933381,0.0003917244,0.0008639523,0.0009458385,0.000445666,0.000990819,0.0002657705,0.0004486518,0.001554557],"category_scores_gemma":[0.0004026368,0.0002049981,0.0006417594,0.001865461,0.000230309,0.0003382402,0.000405724,0.0006855829,0.000755203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005594582,"about_ca_system_score_gemma":0.0005345278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621054,"about_ca_topic_score_gemma":0.004194418,"domain_scores_codex":[0.9997451,0.00001690116,0.00002045599,0.00008811475,0.00007810712,0.00005132698],"domain_scores_gemma":[0.9997861,0.0000323107,0.00007103213,0.0000186232,0.00006271028,0.00002927289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001535932,0.00009317938,0.02873456,0.0007240865,0.0002073654,0.000334133,0.0001294722,0.002366293,0.9396683,0.0005175842,0.003145805,0.02254323],"study_design_scores_gemma":[0.00008464646,0.0009449522,0.4846683,0.0001815776,0.0004753245,0.001881355,0.0006242549,0.02547395,0.4457819,0.001962524,0.03774952,0.0001716385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8788337,0.006734216,0.01494792,0.0004979477,0.0002158114,0.0001551227,0.09470505,0.0007358867,0.003174429],"genre_scores_gemma":[0.8956012,0.003240229,0.01375611,0.0004205302,0.00005219572,0.0003093959,0.08299735,0.000260276,0.003362781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002621054,"threshold_uncertainty_score":0.005211592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107390075439883,"score_gpt":0.2835700286311456,"score_spread":0.2624961278767468,"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."}}