{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001652783,0.0001537428,0.0001364686,0.00002585607,0.00009048861,0.00003471908,0.0002212908,0.0001467393,0.0001542222],"category_scores_gemma":[0.00008920281,0.000149736,0.00008363537,0.00004725164,0.0000663796,0.000002006467,0.0001058875,0.000092653,0.0009783054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001307516,"about_ca_system_score_gemma":0.00001961853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002724135,"about_ca_topic_score_gemma":0.00001450258,"domain_scores_codex":[0.9991311,0.0000493695,0.0001295927,0.0003053788,0.0001238327,0.0002606713],"domain_scores_gemma":[0.9993573,0.000009041356,0.00004882184,0.00042451,0.00004123831,0.0001190206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005621226,0.00005538372,0.00051746,0.00001192325,0.00002885467,8.367006e-7,0.0002283963,0.00001538822,0.9623972,0.0002226942,0.03427013,0.002195555],"study_design_scores_gemma":[0.0009697021,0.001127677,0.005057801,0.00001119072,0.00003099429,0.00001572216,0.00005170991,0.0001347629,0.1913512,0.0002072327,0.8005967,0.0004453175],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920431,0.000391785,0.001045922,0.0003469852,0.0002836011,0.0001469041,0.00000661069,0.00003883478,0.005696295],"genre_scores_gemma":[0.9945661,0.0001514045,0.001511697,0.001190963,0.0005395242,0.000006913609,0.00006341725,0.00004576727,0.001924248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.771046,"threshold_uncertainty_score":0.9997995,"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."}}