{"id":"W2752690034","doi":"10.1016/j.exphem.2017.08.006","title":"Identification of novel biomarkers for MLL-translocated acute myeloid leukemia","year":2017,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Centre hospitalier de l'Université Laval; Hôpital de l'Enfant-Jésus; Centre hospitalier universitaire de Québec; Université Laval; Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Myeloid leukemia; Fusion gene; Leukemia; Biology; Chromosomal translocation; Gene; Myeloid; Cancer research; Biomarker; Acute leukemia; Immunology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002530233,0.0001941217,0.0005177051,0.0001654172,0.0002729293,0.00002773095,0.0004205224,0.000222028,0.0001100889],"category_scores_gemma":[0.0001254642,0.0001829548,0.0001731604,0.0000805788,0.0005884694,0.0001604901,0.0001142124,0.0001417426,0.00003867438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003610264,"about_ca_system_score_gemma":0.0003037115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001270996,"about_ca_topic_score_gemma":0.000005495781,"domain_scores_codex":[0.998401,0.00002258697,0.0005323994,0.0004166669,0.0002328496,0.000394467],"domain_scores_gemma":[0.9984142,0.00007564732,0.0003190864,0.0008851742,0.0001576713,0.0001482485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001282501,0.0003034004,0.0008042749,0.0001420953,0.0004196603,0.00003910577,0.0002908717,5.574785e-7,0.9832739,0.01029869,0.002609579,0.000535416],"study_design_scores_gemma":[0.006085912,0.0003292293,0.002235763,0.00005074549,0.00008429191,0.0004776538,0.0004023844,0.002855532,0.9867396,0.00005305127,0.0005370692,0.0001487767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865785,0.001394168,0.006094723,0.001732432,0.0005198134,0.001632095,0.00008941197,0.00008394878,0.001874929],"genre_scores_gemma":[0.9952128,0.00003224394,0.003414961,0.00009396916,0.00005640786,0.0002417438,0.0001051251,0.00004458479,0.0007981655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024564,"threshold_uncertainty_score":0.7460679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720484173229242,"score_gpt":0.37281480250347,"score_spread":0.3356099607711776,"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."}}