{"id":"W3096121660","doi":"10.1182/blood-2020-141733","title":"Mir-125b Regulates the Self-Renewal of Acute Myeloid Leukemia Stem Cells through PTPN18 and GSK3","year":2020,"lang":"en","type":"article","venue":"Blood","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Myeloid leukemia; CEBPA; Stem cell; Cancer research; Leukemia; Haematopoiesis; microRNA; Myeloid; Transplantation; Biology; NPM1; Clonogenic assay; Progenitor cell; Xenotransplantation; Immunology; Medicine; Cell culture; Internal medicine; Cell biology; Transcription factor","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":[0.0001255046,0.0002501376,0.0001863048,0.0002361059,0.0001589113,0.0004186372,0.0001200553,0.0001663204,0.001542597],"category_scores_gemma":[0.0001286019,0.0001579002,0.0002698674,0.0001740117,0.0002236158,0.0001521515,0.0002578087,0.0004043175,0.0006474745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003299192,"about_ca_system_score_gemma":0.0002246169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007029086,"about_ca_topic_score_gemma":0.001275562,"domain_scores_codex":[0.9998873,0.00001296449,0.00001088442,0.00002813482,0.00003671107,0.00002393905],"domain_scores_gemma":[0.9999412,0.000004590951,0.00002735601,0.000004457406,0.000005723914,0.00001665621],"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":[0.0002604508,0.00003470416,0.001354222,0.00008379858,0.00001444663,0.00009433217,0.00003459752,0.0001340001,0.9942119,0.0003182324,0.0002111614,0.003248076],"study_design_scores_gemma":[0.0001971354,0.0005147434,0.1368851,0.00005359649,0.0001103361,0.001072018,0.000173886,0.006645117,0.8316901,0.0004035196,0.02223351,0.00002090173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859072,0.005057153,0.003109011,0.0001509316,0.00004402845,0.00005015075,0.001035457,0.0001707051,0.004475397],"genre_scores_gemma":[0.9943259,0.00131832,0.001298489,0.00006197364,0.000007277393,0.00004186337,0.0008204679,0.00002638613,0.002099181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001542597,"threshold_uncertainty_score":0.005160511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00817080478417678,"score_gpt":0.2109488498493893,"score_spread":0.2027780450652125,"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."}}