{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002106627,0.0002380698,0.0004929982,0.0002069485,0.0001662955,0.0005880267,0.0002171888,0.000367813,0.0006163876],"category_scores_gemma":[0.003118498,0.0001098933,0.0008154017,0.0002490876,0.0003414444,0.0005209454,0.0004402979,0.0005829261,0.00009887062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748588,"about_ca_system_score_gemma":0.000581694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005538033,"about_ca_topic_score_gemma":0.001961311,"domain_scores_codex":[0.9987229,0.0007257188,0.0001078009,0.0001431011,0.000154358,0.0001461129],"domain_scores_gemma":[0.9978806,0.0008524378,0.000743863,0.0001598712,0.00005737508,0.0003059518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06019081,0.0007006847,0.8896823,0.00007365202,0.0005781275,0.0001798298,0.0001011158,0.002319908,0.002776097,0.0003522266,0.0006745585,0.04237079],"study_design_scores_gemma":[0.002831661,0.01966478,0.9659418,0.00005962185,0.0008757064,0.0005941883,0.000246888,0.004199645,0.001884942,0.000989288,0.002675368,0.0000360329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999014,0.0004489746,0.00004912478,0.00007523109,0.00001129864,0.000008462464,0.0000679758,0.000001469247,0.0003235028],"genre_scores_gemma":[0.9992808,0.0001187339,0.00009307606,0.00005859405,0.00001970577,0.00001249042,0.0002862543,0.000002179295,0.0001283457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002106627,"threshold_uncertainty_score":0.011141,"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."}}