{"id":"W2990199625","doi":"10.33612/diss.101427699","title":"Towards identification and targeting of Polycomb signaling pathways in leukemia","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitair Medisch Centrum Groningen; Ministry of Earth Sciences; Rijksuniversiteit Groningen; University of Alberta","keywords":"Chromatin; Biology; Epigenetics; Leukemia; Stem cell; Haematopoiesis; Progenitor cell; Cancer research; Population; Cell biology; Genetics; Gene; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002468939,0.0003600674,0.0003390943,0.0003474801,0.0001635018,0.0004515757,0.0003382002,0.0002825433,0.00103771],"category_scores_gemma":[0.0001079724,0.0001889368,0.0002697702,0.0002147753,0.0001977881,0.0002801666,0.0004545013,0.0009328955,0.0005254303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003170212,"about_ca_system_score_gemma":0.0002433486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002352879,"about_ca_topic_score_gemma":0.0005195827,"domain_scores_codex":[0.9998575,0.00002020942,0.00001333935,0.00003309283,0.00005405154,0.00002181268],"domain_scores_gemma":[0.9999321,0.000007717194,0.00001748603,0.00001241249,0.00001615519,0.00001408371],"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":[0.00007263746,0.00002967446,0.0002232976,0.0001872072,0.00001196402,0.00006987681,0.00001671315,0.0001638513,0.980008,0.001057211,0.0003024945,0.01785708],"study_design_scores_gemma":[0.00004447694,0.0004533162,0.002223969,0.00003297853,0.00005885622,0.0008810148,0.00002571336,0.00218602,0.9331046,0.0009386917,0.06003808,0.00001228051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6711628,0.1446646,0.1600012,0.003008784,0.0004086224,0.0006150673,0.001744785,0.001177937,0.01721616],"genre_scores_gemma":[0.8853754,0.05736793,0.04526283,0.0006402579,0.0001140671,0.0002272264,0.001844542,0.00009777535,0.009069905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00103771,"threshold_uncertainty_score":0.003471494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066297727956982,"score_gpt":0.2579696430563575,"score_spread":0.2473066657767877,"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."}}