{"id":"W4386811378","doi":"10.1101/2023.09.16.558067","title":"Epigenetic coordination of transcriptional and translational programs in hypoxia","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; University of Alberta; McGill University; Queen's University","funders":"Uppsala Multidisciplinary Center for Advanced Computational Science; Canadian Institutes of Health Research; Science for Life Laboratory; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse","keywords":"Reprogramming; H3K4me3; Epigenetics; Biology; Translational regulation; Cell biology; Transcriptional regulation; microRNA; Transcription factor; Translation (biology); Gene; Genetics; Gene expression; Messenger RNA; Promoter","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":[0.0001467406,0.0001019998,0.0001243186,0.0001087979,0.0001046126,0.0002066111,0.00008488783,0.0001286186,0.0008559602],"category_scores_gemma":[0.0001159283,0.0001065108,0.00008323744,0.000119826,0.0001928789,0.0001323405,0.0001996932,0.0001698223,0.0001972802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002169262,"about_ca_system_score_gemma":0.0001282651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005846232,"about_ca_topic_score_gemma":0.0007030127,"domain_scores_codex":[0.9999311,0.00001071489,0.000003543146,0.00002286245,0.00001988648,0.00001185131],"domain_scores_gemma":[0.9999508,0.000006206226,0.00001800839,0.000008800711,0.000008989809,0.000007293784],"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":[0.0000568074,0.000003029527,0.001418323,0.00001547413,0.000003278253,0.00002977064,0.00001747255,0.0001307125,0.9961324,0.0002676063,0.00004921167,0.001875919],"study_design_scores_gemma":[0.000009488658,0.0001125343,0.1009433,0.000007425599,0.00001287865,0.0002541178,0.00006510451,0.003319399,0.8908873,0.0008218433,0.003556646,0.00001007652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870719,0.001337312,0.00842259,0.0001353415,0.00002900289,0.00001075415,0.0005891343,0.0001046103,0.002299297],"genre_scores_gemma":[0.9954424,0.0003264122,0.001717387,0.00004460124,0.00001422417,0.000009244312,0.0003956347,0.00002090414,0.002029191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008559602,"threshold_uncertainty_score":0.002863467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287535026614721,"score_gpt":0.2380308754673921,"score_spread":0.20927737280592,"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."}}