{"id":"W4389235051","doi":"10.1182/blood-2023-190694","title":"Prognostic Role of Multiparameter Flow Cytometry-Based Measurable Residual Disease Assessment in Acute Myeloid Leukemia Patients with FMS3-like Tyrosine Kinase-3 Internal Tandem Duplication (FLT3-ITD)","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Takeda Canada; Merck Canada; Astellas Pharma; Celgene; Sierra Oncology; CTI Biopharma; Gilead Sciences; Jazz Pharmaceuticals; Teva Pharmaceutical Industries; Leukemia and Lymphoma Society; Agios Pharmaceuticals; Bristol-Myers Squibb; Servier; Amgen","keywords":"NPM1; Oncology; Medicine; Myeloid leukemia; Internal medicine; Minimal residual disease; Cumulative incidence; Hazard ratio; Proportional hazards model; Multivariate analysis; Log-rank test; Survival analysis; Leukemia; Biology; Transplantation; Confidence interval; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006893231,0.0002203585,0.0002645668,0.0008442321,0.0001769372,0.0005788857,0.0003106981,0.0004117806,0.0008987105],"category_scores_gemma":[0.001459835,0.00007953296,0.0002329432,0.0004955331,0.0002626221,0.0004233584,0.0003544428,0.0002945036,0.0002179576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000375112,"about_ca_system_score_gemma":0.0002293623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007417848,"about_ca_topic_score_gemma":0.000994576,"domain_scores_codex":[0.9997253,0.00007488809,0.00003017295,0.00006736641,0.00004762188,0.00005458261],"domain_scores_gemma":[0.9985294,0.0003060767,0.0006483178,0.00004362418,0.0001197274,0.0003528223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004295232,0.00001914306,0.9962915,0.000007647712,0.0000132106,0.00005673747,0.00001493708,0.00009850899,0.0003273399,0.000008889888,0.000078301,0.002654316],"study_design_scores_gemma":[0.00002045387,0.0004345061,0.9972735,0.00001098541,0.0000343402,0.0005862861,0.00007443987,0.0009001227,0.0003189209,0.00004017856,0.0002987798,0.000007425336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990013,0.00047302,0.00006611444,0.0000506427,0.000007274617,0.000005955642,0.0002082173,0.000003821802,0.0001836782],"genre_scores_gemma":[0.9994432,0.00005903038,0.00007732354,0.00001535398,0.00001463245,0.000005974299,0.0003037385,7.548905e-7,0.00007990337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008987105,"threshold_uncertainty_score":0.003645539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299812963027648,"score_gpt":0.2739605004305377,"score_spread":0.2609623708002612,"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."}}