{"id":"W3043883433","doi":"10.1016/j.bbmt.2020.07.017","title":"Combination of FLT3-ITD Allelic Ratio, NPM1 Mutation, and Immunophenotypic Markers to Modulate Outcome Prediction in Patients with Normal Karyotype Acute Myelogenous Leukemia Undergoing Hematopoietic Stem Cell Transplantation","year":2020,"lang":"en","type":"article","venue":"Biology of Blood and Marrow Transplantation","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"NPM1; Medicine; Hazard ratio; Oncology; Hematopoietic stem cell transplantation; Internal medicine; Transplantation; Genotype; Leukemia; Chronic myelogenous leukemia; Minimal residual disease; Karyotype; Myeloid leukemia; Stem cell; Fms-Like Tyrosine Kinase 3; Immunology; Cancer research; Gastroenterology; Mutation; Biology; Genetics; Confidence interval; Gene; Chromosome","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":[0.0005989721,0.0004479952,0.000506641,0.0004220929,0.0002321607,0.0006650127,0.0002645862,0.0004145397,0.0006419374],"category_scores_gemma":[0.001550549,0.0001094178,0.0002964838,0.0004014202,0.0002304557,0.0003612698,0.0002268583,0.0005574339,0.0002302537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287986,"about_ca_system_score_gemma":0.0002176592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003023403,"about_ca_topic_score_gemma":0.0006773036,"domain_scores_codex":[0.9997793,0.00008364524,0.00002106061,0.00004688749,0.00003608618,0.00003300086],"domain_scores_gemma":[0.999228,0.0002864943,0.0002104074,0.00003853219,0.00004526958,0.0001913532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003616815,0.0002615046,0.9793275,0.00001348308,0.0001330048,0.0001270707,0.00005221953,0.0004215402,0.003224895,0.00005014571,0.0002546301,0.01251727],"study_design_scores_gemma":[0.0001314577,0.002063891,0.9893923,0.00001375828,0.0002885765,0.0005496468,0.0001431529,0.004691948,0.001847085,0.0003094737,0.0005511985,0.00001749438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989777,0.0002668326,0.0001564452,0.00008357012,0.00001941627,0.000006406153,0.00006376454,0.000006210448,0.0004197422],"genre_scores_gemma":[0.999455,0.00008000458,0.0001490883,0.00004315068,0.00003027653,0.000007246174,0.0001138432,0.000002134663,0.0001192273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006650127,"threshold_uncertainty_score":0.003167689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008309579168522398,"score_gpt":0.219599606373582,"score_spread":0.2112900272050596,"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."}}