{"id":"W4406364705","doi":"10.1182/blood.2024026598","title":"Precision medicine for high-risk gene fusions in pediatric AML: a focus on <i>KMT2A</i>, <i>NUP98</i>, and <i>GLIS2</i> rearrangements","year":2025,"lang":"en","type":"review","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Cancer Institute","keywords":"Oncology; Medicine; Bioinformatics; Fusion gene; Cancer research; Gene; Biology; Internal medicine; Genetics","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":[0.0009114345,0.0006161559,0.001073885,0.001732395,0.0001856234,0.0007082135,0.0007928133,0.001049262,0.002532484],"category_scores_gemma":[0.001111783,0.0001829497,0.0007705384,0.001196107,0.0003331272,0.00092775,0.0005502213,0.001800784,0.001073526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006557638,"about_ca_system_score_gemma":0.001063438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007836818,"about_ca_topic_score_gemma":0.001530369,"domain_scores_codex":[0.9997712,0.00005034346,0.00003184699,0.00003552908,0.00008707402,0.00002397517],"domain_scores_gemma":[0.9994845,0.0002979283,0.00006261907,0.00001487906,0.0001121452,0.00002780698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009529246,0.00005675025,0.0001371807,0.01788292,0.0001659608,0.0001406686,0.00004719969,0.000432115,0.00158936,0.004980036,0.02765963,0.9468129],"study_design_scores_gemma":[0.00004365003,0.0001841588,0.0008040871,0.008703767,0.0002564114,0.001074277,0.0000497356,0.0001737502,0.0007439583,0.002715902,0.9852301,0.0000203185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001168112,0.9983866,0.000150825,0.0004395308,0.0001667742,0.000006048222,0.00002070109,0.000009549204,0.0007031068],"genre_scores_gemma":[0.00080694,0.9981,0.000257196,0.0003506923,0.0001056034,0.00000919194,0.00003350889,0.000001738822,0.0003351706],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002532484,"threshold_uncertainty_score":0.008472025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02961268909233812,"score_gpt":0.3402455250403277,"score_spread":0.3106328359479896,"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."}}