{"id":"W4211260423","doi":"10.1101/2022.02.08.22270578","title":"Signatures of immune senescence predict outcomes and define checkpoint blockade-unresponsive microenvironments in acute myeloid leukemia","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Stand Up To Cancer; Qatar National Research Fund; National Institutes of Health; Gabrielle's Angel Foundation for Cancer Research; John and Lucille Van Geest Foundation; Nottingham Trent University; Fonds National de la Recherche Luxembourg; Trent University; U.S. Department of Defense; Rally Foundation; National Cancer Institute; Entertainment Industry Foundation; St. Baldrick's Foundation; American Association for Cancer Research","keywords":"Blockade; Immune checkpoint; Myeloid leukemia; Transcriptome; Senescence; CD8; Immune system; Effector; Immunotherapy; Medicine; Bone marrow; Oncology; Cancer research; Myeloid; Cell cycle checkpoint; Biology; Immunology; Internal medicine; Cell cycle; Gene; Cancer; Gene expression; Receptor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003349645,0.0001532593,0.0002358447,0.0004786409,0.00009136331,0.0003836102,0.00007587306,0.0001430445,0.0009476028],"category_scores_gemma":[0.000685624,0.00008002937,0.0001493164,0.00036144,0.0001758468,0.0001367433,0.0002915571,0.0002465784,0.0002218208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143165,"about_ca_system_score_gemma":0.0001144877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001764971,"about_ca_topic_score_gemma":0.0002758497,"domain_scores_codex":[0.9998721,0.00003395041,0.00001299533,0.0000247564,0.00003081289,0.00002538354],"domain_scores_gemma":[0.9996766,0.00006355699,0.0001580051,0.0000278094,0.00002577761,0.00004827512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001363371,0.00006598347,0.9112244,0.00004001615,0.00008501575,0.0001078668,0.0001225627,0.001217625,0.06827562,0.0001446892,0.0003519192,0.01700093],"study_design_scores_gemma":[0.00002374601,0.0002507401,0.9864873,0.00000629178,0.00003839684,0.000399931,0.0001355834,0.002370626,0.00902324,0.0003172724,0.0009417575,0.00000507887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993037,0.0001102292,0.0001816331,0.00001958484,0.000001415686,0.00000304439,0.000207818,0.000005867483,0.0001666288],"genre_scores_gemma":[0.9989991,0.00005714626,0.0002487489,0.00001557913,0.000005293849,0.000005868811,0.0004828579,0.000003066145,0.0001824084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009476028,"threshold_uncertainty_score":0.003170013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463586562017927,"score_gpt":0.2817026845847653,"score_spread":0.267066818964586,"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."}}