{"id":"W3096217495","doi":"10.1182/blood-2020-137589","title":"Prognostic Impact of a Modified European LeukemiaNet (ELN) Genetic Risk Stratification in Predicting Outcomes for Adults with Acute Myeloid Leukemia (AML) Undergoing Allogeneic Hematopoietic Stem Cell Transplantation (HCT). a Center for International Blood and Marrow Transplant Research (CIBMTR) Analysis for the CIBMTR Acute Leukemia Writing Committee","year":2020,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; Internal medicine; Cumulative incidence; Transplantation; Hazard ratio; Univariate analysis; Oncology; Hematopoietic stem cell transplantation; Clinical endpoint; Proportional hazards model; Graft-versus-host disease; Multivariate analysis; Clinical trial; Confidence interval","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":[0.001309752,0.0002640286,0.0002289271,0.0005381859,0.000170014,0.0004086101,0.0002990028,0.000306577,0.0007842451],"category_scores_gemma":[0.002618251,0.00008003197,0.0003172919,0.0004560522,0.0002114228,0.0003171563,0.0004838071,0.000264478,0.0001378549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125628,"about_ca_system_score_gemma":0.0003673659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390605,"about_ca_topic_score_gemma":0.003594728,"domain_scores_codex":[0.9996064,0.0001316632,0.00006589752,0.00007540503,0.00007776341,0.00004280433],"domain_scores_gemma":[0.9984627,0.0004133475,0.0006558304,0.00007391833,0.0001043995,0.0002898743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004376133,0.0000173291,0.9973579,0.00000412987,0.00001983648,0.00001860345,0.000009471198,0.0001411095,0.0001177173,0.00001259175,0.00009004423,0.001773612],"study_design_scores_gemma":[0.00005589927,0.0003424471,0.9964896,0.000007758909,0.00004207837,0.0002628291,0.00004697835,0.002234044,0.0001732306,0.00006265641,0.0002779634,0.000004606257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991792,0.0001039145,0.0001060017,0.00005268045,0.000004897784,0.000009407149,0.0003176496,0.000001678948,0.0002245528],"genre_scores_gemma":[0.9989473,0.00002827345,0.0001980345,0.00001814806,0.000008366443,0.000007836949,0.0007139518,0.000001178138,0.00007689434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001390605,"threshold_uncertainty_score":0.006926715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937631116687969,"score_gpt":0.2968378303959155,"score_spread":0.2674615192290358,"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."}}