{"id":"W4413791759","doi":"10.1016/s2152-2650(25)01744-6","title":"AML-886: Demographics, Management, and Outcomes of Active Acute Myeloid Leukemia Patients Admitted for Acute Pulmonary Embolism: A Propensity Score-Matched Study From the United States","year":2025,"lang":"en","type":"article","venue":"Clinical Lymphoma Myeloma & Leukemia","topic":"Myeloproliferative Neoplasms: Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Red Deer Regional Hospital","funders":"","keywords":"Medicine; Pulmonary embolism; Propensity score matching; Demographics; Myeloid leukemia; Internal medicine; Intensive care medicine; Oncology; Demography","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":[0.0005356264,0.0002934296,0.0004302373,0.0009904574,0.0005846315,0.000900384,0.0004060423,0.0005367167,0.001820297],"category_scores_gemma":[0.001851392,0.0003540303,0.0006164819,0.001697069,0.0003936516,0.0007181297,0.0009802819,0.0006713517,0.0003787482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005118718,"about_ca_system_score_gemma":0.0004236567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004386581,"about_ca_topic_score_gemma":0.005875911,"domain_scores_codex":[0.9991462,0.0001936406,0.0001299979,0.0002421311,0.000126755,0.0001613483],"domain_scores_gemma":[0.9987125,0.0001256167,0.0006823632,0.0001248465,0.0001148645,0.0002397635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000209234,0.0000505934,0.9987828,0.000004302309,0.00008491656,0.00004479749,0.00004699643,0.00002799089,0.0001536737,0.00002683896,0.0001191904,0.0004486098],"study_design_scores_gemma":[0.00003022748,0.0001420755,0.9985061,0.000004784717,0.00005566131,0.0002734243,0.0003553673,0.0003013979,0.00005908886,0.00004293595,0.0002229837,0.000006115784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992062,0.00009719686,0.00008624471,0.00002776103,0.000007495132,0.00000897945,0.0003388632,0.000002113913,0.0002251359],"genre_scores_gemma":[0.9992266,0.00004841934,0.0000400858,0.00004496549,0.00001262208,0.000008869771,0.0005251829,0.000002355187,0.00009097556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004386581,"threshold_uncertainty_score":0.008722067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03206265365308222,"score_gpt":0.3278260022496066,"score_spread":0.2957633485965243,"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."}}