{"id":"W2568392694","doi":"10.1182/blood-2016-10-744219","title":"KMT2E-ASNS: a novel relapse-specific fusion gene in early T-cell precursor acute lymphoblastic leukemia","year":2017,"lang":"en","type":"letter","venue":"Blood","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Princess Margaret Cancer Centre; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Cancer Institute; Canadian Institutes of Health Research; Centre hospitalier universitaire Sainte-Justine; Université de Montréal; Compute Canada; McGill University","keywords":"Immunophenotyping; Fusion gene; Cancer research; Fusion transcript; Biology; Medicine; Oncology; Gene; Immunology; Genetics; Antigen","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0005603895,0.001283757,0.001993387,0.001186784,0.0003070495,0.0003004351,0.001717873,0.003192401,0.000295317],"category_scores_gemma":[0.0004181949,0.001167418,0.0005667026,0.0005301515,0.0004759734,0.0002786704,0.0008265544,0.004633245,0.001670766],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004403905,"about_ca_system_score_gemma":0.004908269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004868906,"about_ca_topic_score_gemma":0.00001723261,"domain_scores_codex":[0.9919377,0.0001717115,0.00126165,0.002106818,0.002382315,0.002139834],"domain_scores_gemma":[0.9943842,0.0006278982,0.0007443288,0.003339945,0.0003985035,0.0005051425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007455412,0.001050317,0.0007007847,0.001129683,0.0007052533,0.02949938,0.0004909041,0.000004736595,0.03486559,0.00000939229,0.9304711,0.0003273758],"study_design_scores_gemma":[0.0991535,0.002845837,0.006211872,0.005953511,0.004497552,0.008258448,0.00003508641,0.001275436,0.02474918,0.0001575967,0.8434327,0.003429305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7766302,0.009208145,0.002501352,0.1532934,0.004636915,0.01078638,0.002018956,0.001082729,0.03984194],"genre_scores_gemma":[0.1864203,0.01292864,0.0294533,0.3415753,0.06162132,0.003778313,0.009964869,0.004781522,0.3494765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5902099,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142350330433212,"score_gpt":0.2574559239462583,"score_spread":0.2360324206419262,"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."}}