{"id":"W4310107852","doi":"10.1182/blood-2022-170230","title":"<i>IL1R1</i> Expression Predicts the Benefit from Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Acute Myeloid Leukemia and Intermediate-Risk Cytogenetics","year":2022,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Hôpital Maisonneuve-Rosemont; Université de Montréal; Princess Margaret Cancer Centre; University Health Network; University of Toronto; Institute for Research in Immunology and Cancer","funders":"","keywords":"CEBPA; Oncology; NPM1; Hematopoietic stem cell transplantation; Internal medicine; Medicine; Transplantation; Induction chemotherapy; Myeloid leukemia; Hazard ratio; Proportional hazards model; Leukemia; Chemotherapy; Immunology; Biology; Confidence interval; Karyotype; Gene","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":[0.0005375,0.0002211491,0.0003123927,0.0003389982,0.0001386569,0.0005706514,0.0002524415,0.0002585272,0.001211269],"category_scores_gemma":[0.001093669,0.00008200765,0.0003028163,0.0004168172,0.0001507527,0.0001931178,0.0002742967,0.000392699,0.0002794466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002034254,"about_ca_system_score_gemma":0.0001790216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004391596,"about_ca_topic_score_gemma":0.000610174,"domain_scores_codex":[0.9998115,0.00004882291,0.00001798356,0.00005135115,0.00003181054,0.0000386087],"domain_scores_gemma":[0.9995351,0.000123753,0.0002103649,0.00003107893,0.00003757748,0.00006227823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001033282,0.0000614954,0.9889402,0.00002526172,0.00007184481,0.000054402,0.00002616959,0.0003281539,0.003245804,0.0000279646,0.0003875558,0.005797998],"study_design_scores_gemma":[0.0000406007,0.0002727341,0.9954469,0.00001103883,0.0001139228,0.0003412557,0.00005926774,0.001589527,0.001297996,0.0001045841,0.000716397,0.000005869818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983394,0.0003338363,0.0001827987,0.00008376544,0.000006805735,0.000007394146,0.0007389754,0.000009644188,0.0002974178],"genre_scores_gemma":[0.998265,0.00006764854,0.0002428757,0.00004986949,0.00001687222,0.000009889704,0.00121774,0.000002839263,0.0001273437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001211269,"threshold_uncertainty_score":0.004052043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006474025734208399,"score_gpt":0.2081761425675301,"score_spread":0.2017021168333217,"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."}}