{"id":"W4383534489","doi":"10.1186/s40478-023-01604-y","title":"Compensatory cross-talk between autophagy and glycolysis regulates senescence and stemness in heterogeneous glioblastoma tumor subpopulations","year":2023,"lang":"en","type":"article","venue":"Acta Neuropathologica Communications","topic":"Autophagy in Disease and Therapy","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; McMaster University; University of Manitoba","funders":"Canadian Institutes of Health Research; Cancer Research Society; Natural Sciences and Engineering Research Council of Canada; Manitoba Medical Service Foundation; Canadian Cancer Society; Research Manitoba; Health Sciences Centre Foundation","keywords":"Stem cell; Biology; Cancer research; Autophagy; Cancer stem cell; Glycolysis; Cell biology; Senescence; Anaerobic glycolysis; Tumor progression; Cancer; Apoptosis; Endocrinology; Biochemistry; Metabolism","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002767672,0.0002016876,0.0003805276,0.0002634704,0.0004515386,0.00006524185,0.0003677894,0.00008855022,0.00002250317],"category_scores_gemma":[0.0001794639,0.0001875792,0.00006533504,0.0006840674,0.000570833,0.0001357343,0.0005125005,0.0002819744,0.00001754392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002717884,"about_ca_system_score_gemma":0.00003747271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002889581,"about_ca_topic_score_gemma":0.00003365679,"domain_scores_codex":[0.9984224,0.0003450511,0.0004062265,0.0003884052,0.0001567762,0.000281134],"domain_scores_gemma":[0.9977587,0.0005092564,0.0001353342,0.001357842,0.0000744783,0.0001643548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001468383,0.0003326875,0.9260253,0.00009172912,0.00005866726,0.001052387,0.0007743065,0.00004666358,0.06737033,0.0004348507,0.00003558027,0.00363064],"study_design_scores_gemma":[0.0006938747,0.0001732194,0.9937699,0.00005417794,0.00006345019,0.0003788236,0.0000714358,0.001754807,0.002054035,0.00038105,0.0004390795,0.0001661483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970622,0.0009466943,0.000005752342,0.001068638,0.00003133916,0.000427378,0.00004797112,0.0002992421,0.000110781],"genre_scores_gemma":[0.9980888,0.001008077,0.0002508166,0.0003347243,0.00002566064,0.00008725574,0.00007902065,0.00003083345,0.00009484944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06774458,"threshold_uncertainty_score":0.7649258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03836253282079765,"score_gpt":0.3276903117795787,"score_spread":0.2893277789587811,"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."}}