{"id":"W2129852181","doi":"10.1038/leu.2010.280","title":"Zebrafish microRNA-126 determines hematopoietic cell fate through c-Myb","year":2010,"lang":"en","type":"article","venue":"Leukemia","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Institutes of Health; Leukemia and Lymphoma Research; Leukemia and Lymphoma Society","keywords":"Biology; Zebrafish; Haematopoiesis; Gene knockdown; Erythropoiesis; microRNA; Cell biology; MYB; Cell fate determination; Transcription factor; Regulator; Blood cell; Thrombopoiesis; Hematopoietic stem cell; Cell; Stem cell; Genetics; Gene; Megakaryocyte; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007635335,0.0002098335,0.0001480317,0.00002640415,0.00008721917,0.00004592925,0.0002848404,0.0002660003,0.0001270634],"category_scores_gemma":[0.00004033114,0.0002080988,0.0001303643,0.00007891006,0.0001054693,0.000008661556,0.0001324566,0.000158146,0.0001331219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003288159,"about_ca_system_score_gemma":0.0001473362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002664477,"about_ca_topic_score_gemma":0.0000522923,"domain_scores_codex":[0.9989004,0.00002850396,0.0002318643,0.0004113084,0.0001193268,0.0003085934],"domain_scores_gemma":[0.9990849,0.00001001202,0.0001122971,0.0006204197,0.00007352112,0.00009879339],"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":[0.0000210152,0.00002752279,0.0009157803,0.00005240375,0.0000137991,0.000007306619,0.00005505683,0.00001409284,0.9903665,0.00005267306,0.008158221,0.0003156861],"study_design_scores_gemma":[0.000535241,0.00003667126,0.002966619,0.00001042572,0.00003019948,0.00004774737,0.00001770543,0.00004077884,0.9232349,0.0003424015,0.07247458,0.0002626906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947617,0.0003220617,0.0005164854,0.0000948311,0.0004085084,0.0001821771,0.0000196803,0.00003882511,0.003655703],"genre_scores_gemma":[0.9945335,0.00002781697,0.002677466,0.0004642105,0.0004823918,0.00002205508,0.000147965,0.00004662327,0.001597964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0671315,"threshold_uncertainty_score":0.8486021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006824951238238447,"score_gpt":0.2321013466041222,"score_spread":0.2252763953658838,"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."}}