{"id":"W2625123466","doi":"10.1186/s12885-017-3402-6","title":"Metabolic targeting of HIF-dependent glycolysis reduces lactate, increases oxygen consumption and enhances response to high-dose single-fraction radiotherapy in hypoxic solid tumors","year":2017,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institutes of Health","keywords":"Glycolysis; Radiation therapy; Hypoxia (environmental); Medicine; Warburg effect; In vivo; Cancer research; Oxygen; Pathology; Internal medicine; Biology; Metabolism; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004659954,0.0002000937,0.0003997879,0.0001410008,0.0001619777,0.00006985699,0.0002044976,0.000111329,0.0000646565],"category_scores_gemma":[0.0003491042,0.0001979835,0.00007897565,0.00007581846,0.0001277082,0.00003135158,0.00008664071,0.00007459671,0.000001872947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005353057,"about_ca_system_score_gemma":0.000195494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003037341,"about_ca_topic_score_gemma":0.002930439,"domain_scores_codex":[0.998575,0.0001770716,0.000345667,0.0004542307,0.0001778681,0.000270109],"domain_scores_gemma":[0.9990147,0.00004260496,0.0003675605,0.0003725254,0.00009001594,0.0001125418],"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":[0.003274221,0.00009098835,0.005456299,0.00003230907,0.00006416954,0.000001057114,0.0001279187,0.0001350866,0.9809853,0.000004263171,0.0003419284,0.009486433],"study_design_scores_gemma":[0.001343519,0.000130496,0.1972039,0.00006452976,0.00005014565,0.000005714985,0.0001223644,0.00002348582,0.7906855,0.00001491445,0.01012577,0.0002296749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684634,0.03031975,0.0001232313,0.0001070119,0.0005591842,0.0003237521,0.00006759837,0.00001054517,0.00002552006],"genre_scores_gemma":[0.9843437,0.01290465,0.001225184,0.00009669689,0.0008999645,0.000134111,0.0000154099,0.00002849315,0.0003517527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1917476,"threshold_uncertainty_score":0.8073531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864271488701294,"score_gpt":0.3017033819877524,"score_spread":0.2830606671007394,"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."}}