{"id":"W3123193638","doi":"10.2139/ssrn.3611286","title":"The Transition from Quiescent to Activated States in Human Hematopoietic Stem Cells is Governed by Dynamic 3D Genome Reorganization","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"","keywords":"Stem cell; Haematopoiesis; Genome; Transition (genetics); Biology; Computational biology; Cell biology; Evolutionary biology; Genetics; Gene","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":[0.00005085349,0.0000850185,0.0001572715,0.0002441644,0.0002398352,0.0008817078,0.0001769446,0.0002277662,0.001222657],"category_scores_gemma":[0.0001639256,0.0001720455,0.0001996743,0.0002862364,0.0003118698,0.0003072324,0.0003218886,0.0003001307,0.0005092169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002353761,"about_ca_system_score_gemma":0.0001559276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005888602,"about_ca_topic_score_gemma":0.001027818,"domain_scores_codex":[0.9999366,0.000007410087,0.000002648429,0.00001966927,0.00001920577,0.00001446847],"domain_scores_gemma":[0.9999269,0.00001655093,0.00002038671,0.00001248335,0.000008760257,0.0000149903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001768817,0.00002647641,0.003754851,0.00005964627,0.00001891141,0.0002352249,0.0002721372,0.002093789,0.9742474,0.002910882,0.0006073538,0.01559646],"study_design_scores_gemma":[0.00005334879,0.0003027618,0.2839619,0.00004190375,0.00007211747,0.001424956,0.001225792,0.01944509,0.6497737,0.006545894,0.03704423,0.0001083272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833627,0.002027248,0.008261745,0.0001521099,0.00004184439,0.0000151368,0.0005487164,0.0001720094,0.005418362],"genre_scores_gemma":[0.9964837,0.0005272239,0.001427718,0.00005934871,0.000007561434,0.00001517682,0.000371798,0.00003473818,0.001072705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001222657,"threshold_uncertainty_score":0.00409025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006108211964103945,"score_gpt":0.2264137831773115,"score_spread":0.2203055712132075,"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."}}