{"id":"W4398133545","doi":"10.1038/s42003-024-06262-x","title":"Targeting glutamine metabolism improves sarcoma response to radiation therapy in vivo","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Institutes of Health; American Cancer Society; American Association for Cancer Research; National Cancer Institute; Foundation for the National Institutes of Health","keywords":"In vivo; Glutamine; Radiation therapy; Sarcoma; Metabolism; Medicine; Cancer research; Oncology; Internal medicine; Biology; Pathology; Biochemistry; Biotechnology","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":[0.0006232279,0.0001459417,0.0001790681,0.0002040389,0.00009704985,0.00003245119,0.0005975004,0.0001672663,0.00002457356],"category_scores_gemma":[0.0002771517,0.0001372432,0.00007525641,0.0003275769,0.0001163264,0.000007331341,0.0002931524,0.0001543694,0.0000218082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002542379,"about_ca_system_score_gemma":0.0001358215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008715029,"about_ca_topic_score_gemma":0.00008382267,"domain_scores_codex":[0.9986753,0.0004297358,0.0002799359,0.000326091,0.0000423256,0.0002466265],"domain_scores_gemma":[0.9986821,0.0001121713,0.0000433378,0.001038134,0.00005867516,0.00006555802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000183439,0.00004173752,0.0001863861,0.000003447174,0.00003086921,1.892216e-7,0.0002251301,0.000009589134,0.9220196,0.0008985826,0.002852499,0.07354853],"study_design_scores_gemma":[0.000394686,0.0001307645,0.003543972,0.00000773156,0.000008164396,0.000004873779,0.00005795475,0.0002540425,0.05791413,0.0002185188,0.9373054,0.0001597884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.839443,0.1532631,0.000871774,0.004218897,0.00113468,0.0004338298,0.00008529043,0.00005473138,0.0004947112],"genre_scores_gemma":[0.9687427,0.02644829,0.002423496,0.0007507183,0.0006336509,0.0002000076,0.0002237584,0.00002810731,0.0005492644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9344529,"threshold_uncertainty_score":0.5596617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621140530189299,"score_gpt":0.3061140776309426,"score_spread":0.2899026723290496,"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."}}