{"id":"W4408506484","doi":"10.1038/s41375-025-02558-x","title":"The proto-oncogenic miR-106a-363 cluster enhances adverse risk acute myeloid leukemia through mitochondrial activation","year":2025,"lang":"en","type":"article","venue":"Leukemia","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Terry Fox Research Institute","funders":"Barncancerfonden; Cancerfonden; Deutsche Forschungsgemeinschaft; Government of Canada; Natural Sciences and Engineering Research Council of Canada; Deutsche Krebshilfe; Wilhelm Sander-Stiftung; Leukemia and Lymphoma Society of Canada; Canadian Institutes of Health Research; European Hematology Association; Västra Götalandsregionen","keywords":"Myeloid leukemia; Cancer research; Adverse effect; Leukemia; Medicine; Myeloid; Immunology; Internal medicine","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":[0.0001646199,0.0002713432,0.0001781544,0.00003995443,0.0004311346,0.00006815673,0.0004099964,0.0003236348,0.00002806725],"category_scores_gemma":[0.0001863429,0.0002161173,0.0002179969,0.000217297,0.0001699456,0.00002574553,0.0002009461,0.0002264844,0.00005246596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544392,"about_ca_system_score_gemma":0.000890329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009747007,"about_ca_topic_score_gemma":0.00008093573,"domain_scores_codex":[0.9982913,0.0001794139,0.0003821576,0.0005518887,0.0002201194,0.000375177],"domain_scores_gemma":[0.9987578,0.00006066224,0.0002637154,0.0007252491,0.0001326808,0.00005994097],"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":[0.0007202274,0.00001743877,0.0002422669,0.00002738358,0.0002830577,0.000001209968,0.00008520148,0.0003615732,0.9704887,0.0001217377,0.0242387,0.003412487],"study_design_scores_gemma":[0.001390866,0.00007089783,0.002525527,0.00004351036,0.0001227874,0.00000375612,0.00006315055,0.0003281828,0.8016148,0.0006900115,0.1929134,0.0002331384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855418,0.0004620811,0.008640156,0.0003034163,0.0007834348,0.001524962,0.00003749174,0.00004956675,0.002657067],"genre_scores_gemma":[0.9876429,0.0006840366,0.002073193,0.0007538214,0.001145789,0.0006859514,0.0003827676,0.00005112349,0.006580385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1688739,"threshold_uncertainty_score":0.8813006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005398891580550538,"score_gpt":0.2527481021155626,"score_spread":0.247349210535012,"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."}}