{"id":"W2151497596","doi":"10.1124/mol.107.035568","title":"A Peroxisome Proliferator-Activated Receptor γ-Retinoid X Receptor Heterodimer Physically Interacts with the Transcriptional Activator PAX6 to Inhibit Glucagon Gene Transcription","year":2007,"lang":"en","type":"article","venue":"Molecular Pharmacology","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Retinoid X receptor; Transactivation; Peroxisome proliferator-activated receptor; Glucose homeostasis; Glucagon-like peptide 1 receptor; Thiazolidinedione; Nuclear receptor; Chemistry; Transcription factor; Molecular biology; Glucagon receptor; Biology; Glucagon; Receptor; Cell biology; Endocrinology; Biochemistry; Gene; Insulin; Insulin resistance; Diabetes mellitus","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000633219,0.000767851,0.0005091332,0.0002400161,0.0003228066,0.00007969009,0.0006484124,0.0004726605,0.0003886116],"category_scores_gemma":[0.00006172978,0.0005561426,0.0002963433,0.0006162405,0.0003425481,0.00005511392,0.0001285292,0.0006643258,0.0001677566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002499411,"about_ca_system_score_gemma":0.0002808425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007114545,"about_ca_topic_score_gemma":0.000008117679,"domain_scores_codex":[0.9956756,0.0005350682,0.0006120187,0.001285541,0.0005951827,0.001296647],"domain_scores_gemma":[0.9981264,0.00005704253,0.0002455234,0.0005420544,0.0004133902,0.0006156155],"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":[0.005910628,0.0004957219,0.000189363,0.0000269616,0.0006092074,0.00002250923,0.0003776145,0.00007818067,0.9863074,0.00003452603,0.004019243,0.001928689],"study_design_scores_gemma":[0.002504648,0.001407792,0.0002263667,0.00003324982,0.00008739933,0.00005341427,0.00009557185,0.000005053583,0.9015701,0.000004811621,0.09331063,0.0007009538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97938,0.0002424645,0.01304751,0.004346258,0.0009779892,0.001628672,0.0001198813,0.0001264301,0.0001307623],"genre_scores_gemma":[0.9900612,0.00005659381,0.001245443,0.006203055,0.001188633,0.0004983598,0.000316694,0.0001933178,0.0002367146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08929139,"threshold_uncertainty_score":0.999689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007452717213880709,"score_gpt":0.2549249122086393,"score_spread":0.2474721949947586,"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."}}