{"id":"W4225642264","doi":"10.1007/s40291-022-00581-7","title":"Clinical Utility of Implementing a Frontline NGS-Based DNA and RNA Fusion Panel Test for Patients with Suspected Myeloid Malignancies","year":2022,"lang":"en","type":"article","venue":"Molecular Diagnosis & Therapy","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Myeloid leukemia; Medicine; Fusion gene; Concordance; Oncology; Myeloproliferative neoplasm; Malignancy; Myeloid; Internal medicine; NPM1; Bioinformatics; Gene; Biology; Genetics; Bone marrow; Karyotype; Myelofibrosis","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":[0.001287247,0.0006827677,0.0004449539,0.0008277652,0.0004274303,0.001117795,0.0004114561,0.001156483,0.003608858],"category_scores_gemma":[0.005930824,0.0002421629,0.0004096869,0.0003481786,0.000322246,0.0005828111,0.000324732,0.00063621,0.001407216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005261789,"about_ca_system_score_gemma":0.0006457708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850338,"about_ca_topic_score_gemma":0.003151174,"domain_scores_codex":[0.9990721,0.0003552603,0.00006461606,0.000166698,0.0002379402,0.0001032942],"domain_scores_gemma":[0.997675,0.001253072,0.0002030946,0.0001136701,0.0005329482,0.0002221627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003675663,0.0005190891,0.7669231,0.0001958769,0.0001035471,0.005253154,0.0003095992,0.002919959,0.01980624,0.0004728594,0.009562751,0.1902582],"study_design_scores_gemma":[0.0003791701,0.008264279,0.797531,0.0007239354,0.0008212655,0.02646618,0.001616015,0.07076649,0.05741401,0.003346404,0.03251933,0.0001518499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413893,0.00605273,0.01139992,0.004401533,0.0004884619,0.0002847717,0.00135339,0.0008347785,0.03379507],"genre_scores_gemma":[0.9876474,0.0007251496,0.008111986,0.00105117,0.000190447,0.00004613848,0.0004016837,0.00002971672,0.001796363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003608858,"threshold_uncertainty_score":0.0120728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251463558139368,"score_gpt":0.3193486644763763,"score_spread":0.2868340288949826,"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."}}