{"id":"W2994880414","doi":"10.1182/blood.2019002697","title":"Impact of NPM1/FLT3-ITD genotypes defined by the 2017 European LeukemiaNet in patients with acute myeloid leukemia","year":2019,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":193,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Daiichi Sankyo Europe; National Cancer Institute; Genentech; Servier; Astellas Pharma; National Institutes of Health; Argenx; Incyte; MacroGenics; BeiGene; Deutsche Forschungsgemeinschaft; Agios Pharmaceuticals; Celgene; Daiichi-Sankyo; Teva Pharmaceutical Industries; Jazz Pharmaceuticals; Pfizer; Amgen","keywords":"Medicine; NPM1; Internal medicine; Oncology; Midostaurin; Myeloid leukemia; Transplantation; White blood cell; Leukemia; Hazard ratio; Confidence interval; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004632004,0.0003234435,0.0005535998,0.0001862832,0.0000607965,0.00003041603,0.000516283,0.0001218621,0.0002245738],"category_scores_gemma":[0.0001044385,0.0001870539,0.0001457204,0.0004664786,0.0001694526,0.0001355489,0.0001884164,0.0006447693,0.0004489201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006348529,"about_ca_system_score_gemma":0.001032772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009058695,"about_ca_topic_score_gemma":0.00003057207,"domain_scores_codex":[0.9976108,0.0001952699,0.0004231397,0.0004518892,0.0006832874,0.0006355957],"domain_scores_gemma":[0.998219,0.0001403264,0.0002046857,0.001036044,0.00020122,0.0001987416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00153621,0.0007166455,0.9658699,0.00007575791,0.0008816227,0.0001317654,0.0004508664,0.0000399693,0.01625789,0.00001956862,0.01240597,0.001613846],"study_design_scores_gemma":[0.01770767,0.002418945,0.9754688,0.0001153341,0.0002700898,0.00007181557,0.00003921948,0.00006582946,0.00276902,0.000007994317,0.0008176449,0.000247679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847838,0.0002426464,0.000005494207,0.0001217555,0.00004065704,0.001024991,0.0001293318,0.00004512675,0.01360615],"genre_scores_gemma":[0.9971026,0.00008389982,0.0003030825,0.0001345928,0.00006936795,0.00001347069,0.0002670555,0.00008742484,0.001938543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01617146,"threshold_uncertainty_score":0.7627837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007989854079912853,"score_gpt":0.2483052702837311,"score_spread":0.2403154162038182,"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."}}