{"id":"W2980289955","doi":"10.1182/blood.v128.22.2886.2886","title":"Utility of Next Generation Sequencing in Prognostication and Therapeutic Decision Making in Cytogenetically Normal AML with DNMT3A Mutations","year":2016,"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":"","keywords":"CEBPA; NPM1; DNA sequencing; Sanger sequencing; Myeloid leukemia; Biology; Oncology; Genetics; Bioinformatics; Computational biology; Internal medicine; Medicine; Gene; Karyotype; Mutation; Chromosome","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003308571,0.0003596705,0.0004121949,0.001633588,0.0002523941,0.001109938,0.0003524776,0.0004839025,0.001295305],"category_scores_gemma":[0.004862519,0.0001870681,0.0003162481,0.0007124592,0.0002462756,0.0003786601,0.0005202465,0.0005670608,0.0003279468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006302185,"about_ca_system_score_gemma":0.0006149104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738402,"about_ca_topic_score_gemma":0.003300729,"domain_scores_codex":[0.9992518,0.000399656,0.00007967564,0.0001157777,0.0001011399,0.0000519631],"domain_scores_gemma":[0.9977386,0.00139281,0.0003276866,0.00009877484,0.0002829235,0.0001591662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002498755,0.0001548624,0.6797839,0.0004551627,0.0004539831,0.001621071,0.0005044705,0.01379649,0.05695966,0.00092928,0.003855524,0.2389868],"study_design_scores_gemma":[0.000287377,0.0009288802,0.6320484,0.000742536,0.0007969037,0.005176223,0.001164375,0.2508994,0.07222949,0.01217204,0.02343392,0.0001205013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381693,0.006853765,0.04588346,0.001832546,0.0001388771,0.0001852473,0.003122665,0.000397743,0.003416311],"genre_scores_gemma":[0.960923,0.001029429,0.03624927,0.0003533829,0.00006683927,0.00006698784,0.0009185771,0.00003137891,0.0003611334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003308571,"threshold_uncertainty_score":0.0174976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06727627985738448,"score_gpt":0.3194251479342947,"score_spread":0.2521488680769102,"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."}}