{"id":"W2433919939","doi":"10.1084/jem.20151574","title":"Targeting MTHFD2 in acute myeloid leukemia","year":2016,"lang":"en","type":"article","venue":"The Journal of Experimental Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Institute in Oncology and Hematology; CancerCare Manitoba","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institute of General Medical Sciences; National Human Genome Research Institute; Lady Tata Memorial Trust; Lauri Strauss Leukemia Foundation; Massachusetts Institute of Technology; National Cancer Institute; CancerCare Manitoba Foundation; National Heart, Lung, and Blood Institute; Boston Children's Hospital","keywords":"Gene knockdown; Myeloid leukemia; Cancer research; Leukemia; Myeloid; Medicine; Biology; Immunology; Apoptosis; 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":[0.0002106592,0.0001883417,0.00020426,0.0002118421,0.0001308584,0.0002156093,0.0001800072,0.0003015311,0.0008249768],"category_scores_gemma":[0.0001066451,0.0001058609,0.0001371579,0.0001953952,0.0002029421,0.0001139634,0.0001655402,0.0004567413,0.000254287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004071818,"about_ca_system_score_gemma":0.0002315451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005069956,"about_ca_topic_score_gemma":0.001169354,"domain_scores_codex":[0.9999504,0.000008865385,0.000004643764,0.000008599528,0.00001590247,0.00001157586],"domain_scores_gemma":[0.99997,0.00000518894,0.000009311134,0.000003278308,0.000004430854,0.000007832406],"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":[0.001040261,0.0001313756,0.002159618,0.0003571424,0.00003245426,0.0004936496,0.00004271902,0.000655364,0.9070334,0.001724327,0.001744546,0.08458518],"study_design_scores_gemma":[0.0003742549,0.001695677,0.01054981,0.00005300763,0.0001212137,0.004418296,0.00004828522,0.002569327,0.8757496,0.001343934,0.1030615,0.00001509495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590919,0.1187894,0.01011695,0.003134153,0.0003155394,0.0001150772,0.0005352883,0.0003033559,0.007598353],"genre_scores_gemma":[0.963526,0.02912481,0.003761382,0.0002560405,0.00007758763,0.00003415081,0.0002881513,0.00001239509,0.002919569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008249768,"threshold_uncertainty_score":0.002954364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174276272764482,"score_gpt":0.291420544548873,"score_spread":0.2796777818212282,"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."}}