{"id":"W4317360675","doi":"10.1158/2159-8290.cd-22-0455","title":"Targeting Microglial Metabolic Rewiring Synergizes with Immune-Checkpoint Blockade Therapy for Glioblastoma","year":2023,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Nuclear Receptors and Signaling","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"National Institute of Neurological Disorders and Stroke; National Cancer Institute; National Key Research and Development Program of China; Sichuan Province Science and Technology Support Program; Fudan University; Case Comprehensive Cancer Center, Case Western Reserve University; Radiological Society of North America; Sichuan University; American Society of Clinical Oncology; National Institutes of Health; Conquer Cancer Foundation; National Natural Science Foundation of China; Foundation for the National Institutes of Health","keywords":"Blockade; Immune checkpoint; Glioblastoma; Immune system; Microglia; Cancer research; Medicine; Immunotherapy; Immunology; Biology; Inflammation; Receptor; Internal medicine","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":[0.0002056131,0.0002212206,0.0002903337,0.0001160688,0.0003342714,0.0002313688,0.000275941,0.000054982,0.00007443295],"category_scores_gemma":[0.00009224591,0.0001695602,0.0001599401,0.0004576157,0.0001082752,0.0004157053,0.00008184689,0.000152025,0.00003165716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004562573,"about_ca_system_score_gemma":0.00009389423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007039515,"about_ca_topic_score_gemma":0.000008084568,"domain_scores_codex":[0.9983917,0.00005128056,0.0002732715,0.0005142271,0.0002397307,0.0005298069],"domain_scores_gemma":[0.9993796,0.0001643369,0.000141148,0.0002146541,0.00003306887,0.00006721996],"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":[0.0004542468,0.00002266314,0.0001773112,0.00002590098,0.00002473649,0.00001116608,0.0003987832,0.001631654,0.9933434,0.0002295935,0.0002754631,0.003405096],"study_design_scores_gemma":[0.0009316172,0.0001328545,0.0001307019,0.00009512393,0.00001691335,0.000004785947,0.0002151481,0.001494691,0.9745818,0.0001281326,0.02199676,0.0002715146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955052,0.002352303,0.0003134576,0.0002895056,0.0007529117,0.0003961856,0.00006875106,0.0002223672,0.00009932047],"genre_scores_gemma":[0.9945449,0.002318471,0.0001068081,0.0002478414,0.0006352114,0.0001950882,0.000003442449,0.00009281442,0.001855438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02172129,"threshold_uncertainty_score":0.6914465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261146820562699,"score_gpt":0.2698474510640169,"score_spread":0.2472359828583899,"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."}}