{"id":"W4387948811","doi":"10.1182/blood.2023021647","title":"T/myeloid MPAL with biallelic <i>CEBPA</i> mutations","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"CEBPA; Myeloid; Mutation; Biology; Genetics; Cancer research; Medicine; Gene","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":[0.0001644865,0.0006605135,0.0002603986,0.0005926648,0.0007239112,0.0007071869,0.0004258837,0.001074677,0.01016601],"category_scores_gemma":[0.001092162,0.0001179632,0.0004335743,0.0005860092,0.0006360175,0.000275981,0.0005471323,0.000960195,0.002957302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005113491,"about_ca_system_score_gemma":0.0004902133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646125,"about_ca_topic_score_gemma":0.001587057,"domain_scores_codex":[0.9997591,0.00002655692,0.00002352469,0.00005185993,0.00006665638,0.00007233128],"domain_scores_gemma":[0.9997204,0.00005005869,0.00008904534,0.00002671559,0.00003350704,0.00008035528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00209392,0.0002941534,0.07215367,0.0004742261,0.0003267154,0.4538526,0.0004171614,0.001493645,0.2962473,0.01154387,0.04873549,0.1123672],"study_design_scores_gemma":[0.0003651476,0.0004351331,0.07258197,0.0002491689,0.0003581452,0.7241231,0.0003561407,0.003258523,0.06430068,0.005848829,0.1280466,0.0000765086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8605353,0.005720511,0.01355558,0.008927314,0.001464784,0.0004299882,0.00732656,0.001613531,0.1004264],"genre_scores_gemma":[0.984257,0.0006024596,0.003460729,0.00205314,0.0003257445,0.000063986,0.001153382,0.0001754433,0.007908142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01016601,"threshold_uncertainty_score":0.03400874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411929430721593,"score_gpt":0.2506656130735957,"score_spread":0.2365463187663798,"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."}}