{"id":"W4398776441","doi":"10.1158/2159-8290.cd-23-1145","title":"Targeting Acute Myeloid Leukemia Stem Cells through Perturbation of Mitochondrial Calcium","year":2024,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Medical Science and Technology Project of Zhejiang Province; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Institutes of Health; Swim Across America; American Cancer Society; Leukemia and Lymphoma Society; U.S. Department of Veterans Affairs; Morgan Adams Foundation","keywords":"Venetoclax; Myeloid leukemia; Cancer research; Leukemia; Calcium; Oxidative phosphorylation; Mitochondrion; Biology; Stem cell; Pharmacology; Myeloid; Medicine; Immunology; Cell biology; Internal medicine; Biochemistry; Chronic lymphocytic leukemia","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":[0.0001436162,0.0002473071,0.0004470641,0.0001339286,0.00007016825,0.000106289,0.0001924607,0.0001849051,0.0002431474],"category_scores_gemma":[0.00002668577,0.0001987714,0.0002280895,0.000492053,0.000164491,0.0007502257,0.0001241602,0.0005246389,0.00007982062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037158,"about_ca_system_score_gemma":0.00235382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004232627,"about_ca_topic_score_gemma":0.000005941024,"domain_scores_codex":[0.9979069,0.00005797228,0.0004484173,0.0005354617,0.0005914046,0.0004598763],"domain_scores_gemma":[0.999111,0.0001665814,0.00008935433,0.000376731,0.0001413492,0.000114981],"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":[0.0006083238,0.00003245313,0.0002546646,0.001002957,0.000534111,0.0001762971,0.001566352,0.0004078636,0.8953109,0.0009774665,0.09512223,0.004006425],"study_design_scores_gemma":[0.002289621,0.0003437751,0.0002458974,0.001325798,0.0006598536,0.00004439116,0.0009078244,0.009676495,0.9115798,0.0003507135,0.07211401,0.0004618119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940586,0.01909697,0.02239894,0.00276726,0.006353143,0.001536679,0.0005976352,0.0002959271,0.006367451],"genre_scores_gemma":[0.9216565,0.004666968,0.001944323,0.0007747008,0.004659127,0.0002479643,0.0001838774,0.0001716202,0.06569488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05932743,"threshold_uncertainty_score":0.8105664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764810473655883,"score_gpt":0.318209665817207,"score_spread":0.2905615610806482,"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."}}