{"id":"W4416186528","doi":"10.1182/blood.2025030290","title":"Decoding RNA modifications to unlock new treatments for AML","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Sierra Oncology; Incyte; CTI Biopharma; Pfizer","keywords":"RNA; Leukemia; Mutation; Bone marrow; Myeloid leukemia; Decoding methods","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007792306,0.0003537565,0.0005090653,0.0004421405,0.0003127759,0.001469845,0.0004467449,0.0007882291,0.006394432],"category_scores_gemma":[0.001433368,0.0002388332,0.0003280299,0.0002626647,0.0006597755,0.0009403322,0.0006590359,0.002172028,0.002030494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006819622,"about_ca_system_score_gemma":0.0005223376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003157402,"about_ca_topic_score_gemma":0.0007991186,"domain_scores_codex":[0.9996878,0.00007773052,0.00002108501,0.00005496869,0.00009361294,0.00006478452],"domain_scores_gemma":[0.9996921,0.0001110492,0.00005212465,0.00004462103,0.00005330409,0.00004691256],"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":[0.001083857,0.0002251611,0.001335941,0.0007198721,0.000113507,0.0003736617,0.0002571335,0.002603853,0.4553595,0.0608813,0.02281042,0.4542357],"study_design_scores_gemma":[0.0003424189,0.001531814,0.00153046,0.0002867633,0.0002184883,0.0008969751,0.0002234806,0.004881774,0.4410784,0.05308168,0.4958502,0.00007748885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2869778,0.3171286,0.1835017,0.09171619,0.01796968,0.0005528753,0.00232884,0.003690999,0.09613346],"genre_scores_gemma":[0.8087495,0.08040919,0.04736843,0.01710565,0.003679659,0.0002244136,0.001118497,0.000708496,0.04063612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006394432,"threshold_uncertainty_score":0.02139157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708335044201719,"score_gpt":0.2958489828506319,"score_spread":0.2787656324086147,"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."}}