{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039888,0.0000794301,0.0001232964,0.00004204838,0.00002985877,0.000002217781,0.0001576859,0.00004454393,0.00005398349],"category_scores_gemma":[0.00009516637,0.00003669229,0.00003156835,0.00004897469,0.00009700473,0.000004324409,0.00004398225,0.00006334014,0.000002493481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004809562,"about_ca_system_score_gemma":0.00003704743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001191705,"about_ca_topic_score_gemma":0.000001561556,"domain_scores_codex":[0.9992704,0.000080777,0.0003065816,0.00006788691,0.0001555803,0.0001187873],"domain_scores_gemma":[0.999578,0.00003390692,0.0001767531,0.0001138865,0.00004614745,0.00005132426],"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":[0.0001609254,0.00001525213,0.0008870653,8.841266e-7,0.00002222447,0.000004988653,0.0002492932,0.00001351431,0.9964706,0.00001220194,0.000576272,0.001586802],"study_design_scores_gemma":[0.001262948,0.0008847271,0.001353953,0.00006217524,0.00001449394,0.00002578164,0.0004509711,0.000007561922,0.9919559,0.00009196164,0.003832811,0.00005668021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829798,0.01416527,0.001227231,0.0008530407,0.0002538872,0.00005497366,7.524176e-7,0.000001171712,0.0004638325],"genre_scores_gemma":[0.9964715,0.002414696,0.0002506586,0.00013839,0.0005220219,0.000001121204,0.00000187177,0.00000953841,0.0001901694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01349169,"threshold_uncertainty_score":0.1496268,"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."}}