{"id":"W2808381662","doi":"10.7717/peerj.5062","title":"Transcriptional regulation of metabolism in disease: From transcription factors to epigenetics","year":2018,"lang":"en","type":"article","venue":"PeerJ","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epigenetics; Biology; DNA methylation; Transcription factor; Transcriptional regulation; microRNA; Cell metabolism; Transcription (linguistics); Gene; Regulation of gene expression; Epigenomics; Histone; Computational biology; Genetics; Enhancer; Context (archaeology); Phenotype; Cell; Gene expression","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":[0.0001177381,0.0001070897,0.0001241739,0.00008073039,0.00002953855,0.000009692492,0.00009955584,0.0000792233,0.0001203811],"category_scores_gemma":[0.00005451146,0.0001099924,0.00007240862,0.0001009249,0.00005926348,0.000004791485,0.00001333901,0.00003452691,0.000006601928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000101639,"about_ca_system_score_gemma":0.00003895699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001132531,"about_ca_topic_score_gemma":0.0004210239,"domain_scores_codex":[0.9991328,0.00005157458,0.0002460113,0.0002545141,0.0001814072,0.0001337526],"domain_scores_gemma":[0.9994954,0.000008652999,0.00004991252,0.0002132958,0.0001365114,0.00009619296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009951412,0.00004869788,0.01456536,0.000005335121,0.00001231379,9.632179e-8,0.0006862457,0.0003207233,0.9821253,0.0002730071,0.00003312547,0.001830217],"study_design_scores_gemma":[0.0002077872,0.00006214316,0.5620377,0.000006740158,0.00001526703,1.729489e-8,0.00002436941,0.0001308801,0.4219733,0.001192046,0.01426485,0.00008489069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829823,0.001253749,0.01475733,0.0001896555,0.0003308677,0.0001595729,0.0001380086,0.000005835382,0.0001826861],"genre_scores_gemma":[0.9970996,0.00008013912,0.001730949,0.00004739766,0.0003505983,0.000009257995,0.0004855281,0.00001515443,0.0001813658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5601521,"threshold_uncertainty_score":0.4485361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729591903196543,"score_gpt":0.2623777756015665,"score_spread":0.2450818565696011,"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."}}