{"id":"W1986525197","doi":"10.1371/journal.pgen.1002645","title":"Coordinate Regulation of Lipid Metabolism by Novel Nuclear Receptor Partnerships","year":2012,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Birth, Development, and Health","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Child and Family Research Institute","funders":"National Institutes of Health; National Cancer Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Glenn Foundation for Medical Research; American Diabetes Association","keywords":"Biology; Nuclear receptor; Caenorhabditis elegans; Phenotype; Gene; Lipid metabolism; Sphingolipid; Cell biology; Receptor; Genetic screen; Regulation of gene expression; Genetics; Biochemistry; Transcription factor","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002120296,0.0001186255,0.0002704637,0.00005896169,0.00005438758,0.000005425459,0.00006452659,0.0001266192,0.0003702109],"category_scores_gemma":[0.00004945625,0.0001094632,0.00004314743,0.000133619,0.0000550632,0.00004661666,0.00002920593,0.0001318635,0.0001041497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003775648,"about_ca_system_score_gemma":0.00006722042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000196554,"about_ca_topic_score_gemma":9.191675e-7,"domain_scores_codex":[0.9989386,0.00003071002,0.0003014545,0.0001392941,0.0002758031,0.0003141937],"domain_scores_gemma":[0.9992474,0.00002138471,0.0001398042,0.0002260682,0.0001222986,0.000243019],"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":[0.0001396051,0.0008580873,0.01985254,0.000405946,0.0001433637,1.411057e-7,0.002616233,0.000001018207,0.9083935,0.02445976,0.04160361,0.001526188],"study_design_scores_gemma":[0.002769405,0.0002446767,0.093568,0.0001589515,0.0003122342,0.00001058794,0.0004111531,0.0007943629,0.5035801,0.0005267176,0.3972325,0.0003912769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894977,0.00170322,0.0001120911,0.001735263,0.0004066528,0.0003681356,0.00002996857,0.00005925103,0.00608772],"genre_scores_gemma":[0.9846594,0.00526683,0.0085961,0.0006140572,0.0005065443,0.00000620512,0.00005323938,0.00004009266,0.0002575788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4048134,"threshold_uncertainty_score":0.4463782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07172458273197226,"score_gpt":0.2837813826723199,"score_spread":0.2120567999403477,"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."}}