{"id":"W1984294974","doi":"10.4161/worm.29317","title":"SUMO as a nuclear hormone receptor effector","year":2014,"lang":"en","type":"article","venue":"Worm","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; Canadian Institutes of Health Research; Akademie Věd České Republiky","keywords":"SUMO protein; Computational biology; Transcription factor; Effector; Biology; Cell biology; Nuclear receptor; Chromatin; Biotinylation; Enhancer; Transcription (linguistics); Transcriptional regulation; Gene; Genetics; Molecular biology","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":[0.0001816575,0.0002216916,0.0001709065,0.00009496378,0.0002441348,0.0004421818,0.000347322,0.0003509257,0.001052228],"category_scores_gemma":[0.00009607895,0.00014103,0.0002371296,0.00006662618,0.0003607234,0.0003809903,0.0003095389,0.0004789186,0.0006246411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724924,"about_ca_system_score_gemma":0.0002114623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003137513,"about_ca_topic_score_gemma":0.0004728039,"domain_scores_codex":[0.9999274,0.00001217977,0.00000414902,0.000022273,0.00002158497,0.00001238762],"domain_scores_gemma":[0.9999515,0.000006908427,0.000007585708,0.00001138404,0.000005531033,0.00001715113],"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":[0.0001689939,0.00001863192,0.0005281481,0.00006722723,0.00000770009,0.000177886,0.00002489283,0.0007579426,0.9790438,0.01076003,0.0003070144,0.008137709],"study_design_scores_gemma":[0.00001628838,0.0001637266,0.001291782,0.000008207356,0.00001811803,0.0004566914,0.00003740046,0.002962848,0.9614311,0.002263097,0.03133539,0.00001534873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120407,0.009400778,0.05463027,0.001743164,0.0003899898,0.00008169781,0.0005842497,0.0007697482,0.02035954],"genre_scores_gemma":[0.9692091,0.003291557,0.01561925,0.0002424625,0.0000384211,0.00002005641,0.0002455346,0.00004074407,0.01129285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001052228,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004566801879151485,"score_gpt":0.2060398754245649,"score_spread":0.2014730735454134,"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."}}