{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002137585,0.0004553215,0.0002818712,0.0004323866,0.0004087359,0.0005547252,0.000440478,0.0006140411,0.002225418],"category_scores_gemma":[0.0002832659,0.0004956416,0.0002441055,0.0001294449,0.0006164913,0.000391464,0.0004931782,0.001042446,0.001159957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232514,"about_ca_system_score_gemma":0.0005611949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002363208,"about_ca_topic_score_gemma":0.006085783,"domain_scores_codex":[0.9996492,0.00003563923,0.00002356924,0.0001240525,0.00009946906,0.00006808944],"domain_scores_gemma":[0.9997018,0.00003311516,0.0001293481,0.00002834909,0.00003167442,0.00007570276],"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":[0.0000489701,0.000002750878,0.0001408644,0.00001028414,0.000001276641,0.00005113799,0.000007819412,0.00004200843,0.9986872,0.0004078684,0.0000667981,0.0005330301],"study_design_scores_gemma":[0.0000351456,0.00006680201,0.007929397,0.000009808156,0.00001568199,0.0003130442,0.00004263749,0.001947265,0.9855232,0.0002492511,0.00385622,0.00001164097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675941,0.002089686,0.01528425,0.0006021846,0.0001447329,0.00005363984,0.0008047277,0.0004858522,0.01294096],"genre_scores_gemma":[0.9824822,0.0003603217,0.004342585,0.000203972,0.00001369374,0.00003753689,0.0003921145,0.0001811718,0.0119864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002363208,"threshold_uncertainty_score":0.008942604,"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."}}