{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264183,0.0002537615,0.00025379,0.0001935142,0.0001811113,0.0004144812,0.0002799303,0.0002960265,0.001102855],"category_scores_gemma":[0.0001526504,0.00006453107,0.0001265824,0.000182385,0.0002800699,0.0002476431,0.0002713439,0.0005687889,0.0001469143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274744,"about_ca_system_score_gemma":0.0002692788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003433941,"about_ca_topic_score_gemma":0.001035795,"domain_scores_codex":[0.9998863,0.00001794668,0.00001097144,0.00002323873,0.00003989227,0.00002157268],"domain_scores_gemma":[0.999927,0.00001569015,0.00003257588,0.000006290185,0.000006561067,0.0000118636],"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":[0.0001912066,0.00004016364,0.0003607413,0.0000871215,0.000005872892,0.00004133757,0.00001501258,0.0000973833,0.9957811,0.0002686781,0.00005248162,0.003058855],"study_design_scores_gemma":[0.00006047545,0.0005775277,0.002939473,0.00001073077,0.00002185333,0.000261555,0.00004290012,0.0009565559,0.9914491,0.0001345093,0.003541116,0.000004206468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906372,0.003210688,0.003831007,0.0003480909,0.00003865442,0.00005386206,0.0002773286,0.0001244382,0.001478754],"genre_scores_gemma":[0.9954443,0.001343473,0.002053362,0.00007639093,0.00001032899,0.00003465336,0.0001302417,0.000007981902,0.0008993633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001102855,"threshold_uncertainty_score":0.003689468,"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."}}