{"id":"W2966369225","doi":"10.21037/sci.2019.06.01","title":"SETD7 at the heart of chromatin factor interplay","year":2019,"lang":"en","type":"letter","venue":"Stem Cell Investigation","topic":"Congenital heart defects research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Ontario Ministry of Research, Innovation and Science; Fundação de Amparo à Pesquisa do Estado de São Paulo; Novartis Pharma; Wellcome Trust; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Genome Canada; Ontario Genomics; Pfizer","keywords":"Epigenetics; Biology; Chromatin; Histone; DNA methylation; Epigenomics; Transcription factor; Genetics; Epigenetic regulation of neurogenesis; Computational biology; Gene expression; Cell biology; Gene; Chromatin remodeling","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001424531,0.0002224072,0.0002278267,0.00006094642,0.00006363443,0.00002949888,0.0002849746,0.0005667426,0.000129721],"category_scores_gemma":[0.00002659497,0.0001689207,0.000159247,0.00009385164,0.0002148319,0.000003672048,0.0002963355,0.0004924982,0.000348132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005686187,"about_ca_system_score_gemma":0.0001969241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003808471,"about_ca_topic_score_gemma":0.00003866516,"domain_scores_codex":[0.9984139,0.0002792834,0.0002940952,0.0003953728,0.0003614472,0.0002559504],"domain_scores_gemma":[0.9988438,0.0001002405,0.000167062,0.0007236748,0.0001233291,0.0000418775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006516577,0.000002779106,0.0003469032,0.0002805231,0.00001950762,0.000001451396,0.00004549733,0.000002223751,0.497965,3.265641e-7,0.5011857,0.0001435703],"study_design_scores_gemma":[0.0001101221,0.0001656759,0.0003027102,0.00004658438,0.00001187542,0.000007895928,0.0000112578,0.00003234049,0.5583909,0.000008489512,0.4407734,0.0001387973],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566295,0.0009082759,0.00001207959,0.03889341,0.0003527357,0.0008099387,0.0002262046,0.00001218255,0.0021557],"genre_scores_gemma":[0.8031086,0.0000346764,0.0000763397,0.1043681,0.001470965,0.00007956669,0.00265937,0.0001135715,0.08808881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1535209,"threshold_uncertainty_score":0.6888384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963556787383579,"score_gpt":0.2667777401181267,"score_spread":0.2471421722442909,"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."}}