{"id":"W2171839817","doi":"10.1093/neuonc/nou208.33","title":"IDENTIFYING DRUG COMPOUNDS TARGETING TUMOR METABOLISM IN GLIOBLASTOMAS","year":2014,"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":"University of Toronto","funders":"","keywords":"Warburg effect; Gene knockdown; Glycolysis; Cancer research; Hexokinase; Anaerobic glycolysis; Biology; Reprogramming; In vivo; Cell culture; Oxidative phosphorylation; Cell biology; Gene; Enzyme; Biochemistry; Genetics","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":[0.0001359073,0.0005103375,0.0007167155,0.001208984,0.0001782895,0.0004446231,0.0002084219,0.0003029223,0.001325364],"category_scores_gemma":[0.0001545049,0.0001660332,0.0004814324,0.0007667095,0.0001502772,0.0002080992,0.0002062261,0.0002788991,0.000322261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007170964,"about_ca_system_score_gemma":0.0007044838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247214,"about_ca_topic_score_gemma":0.003778068,"domain_scores_codex":[0.9999321,0.000006294764,0.000005897092,0.00001552031,0.00002179344,0.00001844203],"domain_scores_gemma":[0.9999247,0.00001293041,0.00002441966,0.000004067696,0.00002109304,0.00001278447],"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":[0.001111267,0.0002282029,0.008050001,0.001179403,0.0001178564,0.0003442862,0.0000362934,0.003047888,0.9204639,0.0003793588,0.001034301,0.06400738],"study_design_scores_gemma":[0.000515328,0.004703806,0.04892258,0.0002162499,0.0009108249,0.00139893,0.0001092968,0.009714418,0.9031588,0.0007803395,0.02952595,0.00004349798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560639,0.02387133,0.007590954,0.0006082982,0.00006958537,0.0004712373,0.006501658,0.000581489,0.004241444],"genre_scores_gemma":[0.9605996,0.01707197,0.01053137,0.0003467287,0.0000228091,0.0002707853,0.008473785,0.00003683392,0.002646208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001325364,"threshold_uncertainty_score":0.005202949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058703485578157,"score_gpt":0.2683353795797745,"score_spread":0.257748344723993,"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."}}