{"id":"W3016347409","doi":"10.1101/2020.04.18.047738","title":"Three-dimensional Genome Organization Maps in Normal Haematopoietic Stem Cells and Acute Myeloid Leukemia","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Institutes of Health; Cancer Science Institute of Singapore, National University of Singapore; Ministry of Education, India; Medical Research Council; National Medical Research Council; National Research Foundation Singapore; National Research Foundation","keywords":"Haematopoiesis; Myeloid leukemia; Biology; Cancer research; Stem cell; Leukemia; Myeloid; Chromatin; CD34; Epigenetics; Enhancer; Bone marrow; Myelopoiesis; Transcription factor; Cell biology; Immunology; 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":[0.00005906913,0.00009456834,0.00008746963,0.0005579774,0.0001868604,0.0003313955,0.0001172423,0.000166842,0.001985734],"category_scores_gemma":[0.0001331052,0.0001642171,0.0001747358,0.0003203273,0.0001378419,0.0001086797,0.0002315124,0.0001742257,0.0003548055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002606318,"about_ca_system_score_gemma":0.0001054442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001716331,"about_ca_topic_score_gemma":0.002440911,"domain_scores_codex":[0.9999375,0.000006130297,0.000002758852,0.0000185194,0.00002480297,0.00001030624],"domain_scores_gemma":[0.9999266,0.00001556746,0.00001922614,0.00001156261,0.00001175101,0.00001525455],"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":[0.0002125654,0.00001344189,0.0104533,0.00006233346,0.00002405221,0.0001554204,0.0001571255,0.001051662,0.9772068,0.00109234,0.0003434329,0.009227553],"study_design_scores_gemma":[0.00002894757,0.0001000893,0.4862303,0.00002337115,0.00004677225,0.001633288,0.0002992498,0.01473626,0.4741484,0.00221072,0.02051445,0.00002812384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840586,0.0004927758,0.0106907,0.00007430407,0.00001021006,0.00001169264,0.001557803,0.0001913698,0.002912639],"genre_scores_gemma":[0.9856324,0.0002402678,0.008747159,0.00003283713,0.000004887474,0.00002099931,0.00307191,0.00005578587,0.002193621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001985734,"threshold_uncertainty_score":0.006642938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006143894817284666,"score_gpt":0.1799391765880153,"score_spread":0.1737952817707307,"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."}}