{"id":"W3022210151","doi":"10.1182/blood.2019002548","title":"The EMT modulator SNAI1 contributes to AML pathogenesis via its interaction with LSD1","year":2020,"lang":"en","type":"article","venue":"Blood","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Institute in Oncology and Hematology; CancerCare Manitoba","funders":"Medical Research Council; Translational Cancer Research Network; Fondation contre le Cancer; National Health and Medical Research Council; Vlaamse regering; Universiteit Gent; European Hematology Association; Cancer Institute NSW; Monash University; Fonds Wetenschappelijk Onderzoek; NSW Health Pathology","keywords":"SNAI1; Myeloid leukemia; Leukemia; Cancer research; Biology; Epithelial–mesenchymal transition; Ectopic expression; Pathogenesis; Demethylase; Haematopoiesis; Immunology; Histone; Stem cell; Cancer; Cell biology; Genetics; Cell culture; Gene; Metastasis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001469017,0.0001667229,0.0001687021,0.0002043245,0.0001899768,0.0003003892,0.0001292074,0.0001575304,0.001512462],"category_scores_gemma":[0.0001424233,0.00009350975,0.0001799952,0.0001021578,0.0002303123,0.0001453924,0.0003428214,0.0003528493,0.0003460926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003174035,"about_ca_system_score_gemma":0.0001885346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003801352,"about_ca_topic_score_gemma":0.000489993,"domain_scores_codex":[0.9998856,0.00002622864,0.000007823584,0.0000189501,0.0000352462,0.00002615927],"domain_scores_gemma":[0.9999088,0.000008038503,0.00003684311,0.000006178595,0.000007700723,0.00003241226],"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":[0.0003253271,0.00003060352,0.008441973,0.00008914498,0.00003125472,0.0003320559,0.00004533872,0.0002855375,0.9823763,0.0007352639,0.0003342913,0.006972833],"study_design_scores_gemma":[0.00004396926,0.0003545173,0.07438976,0.00002092133,0.00008191633,0.002063269,0.0001608671,0.004789384,0.9045221,0.0007316542,0.01282466,0.00001684673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880904,0.004370196,0.004550317,0.0005121378,0.00002709482,0.00001398853,0.0002121225,0.0001727886,0.002050968],"genre_scores_gemma":[0.9975216,0.000777354,0.0006422434,0.00004131353,0.000006574499,0.000004997572,0.0001112079,0.00000447953,0.0008903441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001512462,"threshold_uncertainty_score":0.005059719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009988379536215715,"score_gpt":0.229886325222753,"score_spread":0.2198979456865373,"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."}}