{"id":"W3206893004","doi":"10.1158/2643-3230.bcd-20-0216","title":"Multiomic Profiling of Central Nervous System Leukemia Identifies mRNA Translation as a Therapeutic Target","year":2021,"lang":"en","type":"article","venue":"Blood Cancer Discovery","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Ontario Institute for Cancer Research; Amgen (Canada); Hospital for Sick Children; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Cancer Institute; Novo Nordisk Fonden; Canadian Institutes of Health Research; KWF Kankerbestrijding; Novo Nordisk; Canadian Cancer Society; Hospital for Sick Children; Government of Ontario","keywords":"Profiling (computer programming); Translation (biology); Messenger RNA; Central nervous system; Neuroscience; Computational biology; Biology; Computer science; Gene; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001508685,0.0002087179,0.0004629238,0.0001092472,0.0000745079,0.00006990381,0.0001374029,0.0001370325,0.00008706458],"category_scores_gemma":[0.0000489401,0.0001843194,0.0002085254,0.0003642729,0.0001063656,0.0003142402,0.00004818811,0.0002218067,0.00001408515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073125,"about_ca_system_score_gemma":0.004378048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109287,"about_ca_topic_score_gemma":0.00007495348,"domain_scores_codex":[0.9978563,0.00009914422,0.0004713926,0.0004256411,0.0006645216,0.0004829777],"domain_scores_gemma":[0.9990082,0.0001164567,0.0001462825,0.0003943992,0.0002011872,0.0001334631],"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":[0.001086409,0.000337793,0.01942959,0.004132525,0.001491572,0.0006492037,0.001445887,0.002121931,0.9619275,0.0008820615,0.0002648605,0.006230645],"study_design_scores_gemma":[0.006407088,0.000153691,0.01018401,0.001169659,0.0008848349,0.0003408338,0.001806475,0.009536072,0.9689328,0.00009940235,0.0002313119,0.0002538344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858183,0.009279807,0.002265367,0.0002970335,0.0004878877,0.0005942591,0.0001446661,0.00007768248,0.001034943],"genre_scores_gemma":[0.9966252,0.0004201281,0.0008888211,0.0001237805,0.0003490626,0.00009760217,0.0001293753,0.00005116619,0.001314888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01080682,"threshold_uncertainty_score":0.7766469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996526487059861,"score_gpt":0.2902066750362585,"score_spread":0.2702414101656599,"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."}}