{"id":"W3199490133","doi":"10.1182/bloodadvances.2021004965","title":"CBFB-MYH11 fusion transcripts distinguish acute myeloid leukemias with distinct molecular landscapes and outcomes","year":2021,"lang":"en","type":"article","venue":"Blood Advances","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Cancer Institute; National Institutes of Health","keywords":"Myeloid leukemia; Biology; Fusion gene; Computational biology; Myeloid; Genetics; Bioinformatics; Cancer research; 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":[0.0003346424,0.0002121951,0.0002241209,0.0007294189,0.0002476835,0.0006108243,0.0001778964,0.0003701743,0.002993028],"category_scores_gemma":[0.0007973413,0.00011363,0.0001502205,0.0003898307,0.0004782328,0.0002881432,0.000538801,0.0003276252,0.0003671861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004119404,"about_ca_system_score_gemma":0.0001955346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007961831,"about_ca_topic_score_gemma":0.001490691,"domain_scores_codex":[0.9997335,0.00004251282,0.00001916216,0.0000606192,0.0000594279,0.00008467635],"domain_scores_gemma":[0.9995835,0.0001235535,0.0001277448,0.00002484029,0.00003827264,0.000102121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00183014,0.00007518801,0.8016955,0.00006025713,0.00007404789,0.0005536522,0.0004086633,0.0004952305,0.1712513,0.001141822,0.000612045,0.02180222],"study_design_scores_gemma":[0.00004246369,0.0003041594,0.9727659,0.00002083218,0.00007259144,0.003225843,0.0009425969,0.001334451,0.01784897,0.001675981,0.001747581,0.00001864793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977427,0.0002561651,0.0004922478,0.00006923278,0.000003329,0.0000130478,0.0002644585,0.00001485254,0.001144108],"genre_scores_gemma":[0.9992937,0.00004777714,0.0001776351,0.00001588554,0.000005085814,0.000008945234,0.000250059,0.0000040694,0.0001968031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002993028,"threshold_uncertainty_score":0.01001263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008445822330512004,"score_gpt":0.2703552193312903,"score_spread":0.2619093970007783,"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."}}