{"id":"W4417009029","doi":"10.1182/blood-2025-5178","title":"Performance of the ELN 2022 risk stratification in a real-world Canadian AML patient population","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Leukemia & Lymphoma Society of Canada; University of British Columbia","funders":"","keywords":"Myeloid leukemia; Cohort; CEBPA; Risk stratification; Population; Cohort study; Leukemia; Framingham Risk Score; Survival analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001641591,0.0005180523,0.0003920788,0.001395418,0.001433294,0.001150049,0.001029886,0.0004261209,0.001724261],"category_scores_gemma":[0.003570945,0.000173616,0.0005369247,0.001970992,0.0003635795,0.0002716077,0.0008952722,0.0003617019,0.0003844236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01877705,"about_ca_system_score_gemma":0.01723732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9396431,"about_ca_topic_score_gemma":0.9528971,"domain_scores_codex":[0.9988787,0.0001439667,0.00006510918,0.00023329,0.0004070968,0.0002718669],"domain_scores_gemma":[0.9980314,0.0001294755,0.0002697021,0.00008662847,0.001102078,0.0003807275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004354584,0.00003997473,0.9822102,0.00002465801,0.00005949002,0.00007936629,0.000188789,0.0008801934,0.0003498496,0.0001704129,0.003225725,0.01233605],"study_design_scores_gemma":[0.00009867189,0.0001432271,0.9892339,0.00002939427,0.00005376934,0.0002231591,0.0004598736,0.004869248,0.0003966024,0.0001287975,0.004327917,0.00003543458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990546,0.0003336766,0.0004171777,0.0004866869,0.00001574032,0.0001126734,0.005140369,0.00003280568,0.002914932],"genre_scores_gemma":[0.9928777,0.000156323,0.001313698,0.0001710246,0.00001613308,0.00006287923,0.004725877,0.00001125165,0.0006651671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06035686,"threshold_uncertainty_score":0.1362377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088756544229689,"score_gpt":0.271045329134074,"score_spread":0.2601577636917771,"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."}}