{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009903225,0.0002065061,0.0001525094,0.0003517061,0.0001382217,0.0003597972,0.00008360982,0.0001613657,0.00102903],"category_scores_gemma":[0.0001046165,0.00007178123,0.0001211814,0.00030782,0.0001109052,0.0001289311,0.0001559319,0.000246112,0.0003136476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299524,"about_ca_system_score_gemma":0.0001824715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003949704,"about_ca_topic_score_gemma":0.0007677879,"domain_scores_codex":[0.9999135,0.000009887008,0.000005444811,0.00002168134,0.0000327034,0.00001676971],"domain_scores_gemma":[0.9999398,0.000008649964,0.00002249693,0.000004314389,0.00001432741,0.00001042387],"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":[0.00006182431,0.000008223391,0.000841076,0.00001625482,0.000003042803,0.00001835455,0.00000502964,0.00003170982,0.9972903,0.000021202,0.00004812343,0.001654913],"study_design_scores_gemma":[0.000009403456,0.0003118728,0.04645356,0.000007167212,0.0000324201,0.0003927817,0.00005963095,0.001327393,0.9483454,0.00008897908,0.002966334,0.000005096059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889024,0.001938129,0.004915931,0.0001453785,0.00002312987,0.00004547121,0.002401339,0.0001122417,0.001515923],"genre_scores_gemma":[0.9865681,0.001766309,0.006229485,0.0001177716,0.00001398932,0.00006174426,0.002386523,0.0000336614,0.002822489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00102903,"threshold_uncertainty_score":0.003442526,"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."}}