{"id":"W4362546372","doi":"10.1158/2159-8290.c.6549562.v1","title":"Data from Epigenetic Activation of Plasmacytoid DCs Drives IFNAR-Dependent Therapeutic Differentiation of AML","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Histone Deacetylase Inhibitors Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Health and Medical Research Council; Peter MacCallum Cancer Centre; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canada Research Chairs; Cancer Council Victoria; Deutsche Forschungsgemeinschaft; Cancer Australia; Australian Cancer Research Foundation; Medical Research Council; Kids' Cancer Project; Marshfield Clinic Research Foundation","keywords":"Panobinostat; Epigenetics; Cancer research; Myeloid leukemia; Leukemia; Biology; Myeloid; Immunology; Histone deacetylase; Histone; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002051219,0.0002321459,0.0002928324,0.0003334393,0.0002152138,0.0004516991,0.0002210949,0.0004083299,0.01125279],"category_scores_gemma":[0.0001483488,0.0001654872,0.0003083451,0.0002053252,0.0003199247,0.0002515019,0.0002867042,0.001631679,0.002277726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004541081,"about_ca_system_score_gemma":0.0002919896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003297954,"about_ca_topic_score_gemma":0.0006511711,"domain_scores_codex":[0.9996903,0.0000337001,0.00003802739,0.00006870481,0.0001170246,0.00005230476],"domain_scores_gemma":[0.9998503,0.00002594303,0.00002837072,0.00002857088,0.00002598812,0.0000408582],"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":[0.0004611819,0.0001054347,0.0003296877,0.00008630095,0.0000102334,0.00007958602,0.00003060482,0.00009438986,0.9910707,0.00055622,0.0005982021,0.006577297],"study_design_scores_gemma":[0.00008483304,0.0003762306,0.007388751,0.00001237009,0.00002395899,0.0003025503,0.0000542863,0.0007744704,0.9748611,0.0002049088,0.01591047,0.00000603524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.938669,0.003788851,0.01501136,0.002018193,0.0003755076,0.0003118392,0.01224898,0.0009099552,0.02666621],"genre_scores_gemma":[0.9759318,0.001050969,0.004380745,0.0005706672,0.0000495048,0.0001916824,0.004291845,0.0001197624,0.01341293],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01125279,"threshold_uncertainty_score":0.03764433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07812436539701738,"score_gpt":0.3410513013783708,"score_spread":0.2629269359813534,"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."}}