{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000403958,0.0002682907,0.0002651105,0.0002644327,0.0001983863,0.0006782771,0.0004239773,0.0002057962,0.002632295],"category_scores_gemma":[0.0002514463,0.0001915443,0.0002963451,0.0001849675,0.0002756975,0.0004031046,0.0008856052,0.0004019212,0.0007303181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005492925,"about_ca_system_score_gemma":0.0002176459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004236064,"about_ca_topic_score_gemma":0.00138397,"domain_scores_codex":[0.999648,0.00005031235,0.00002522509,0.0001047617,0.00009875757,0.00007285886],"domain_scores_gemma":[0.9998277,0.00002588622,0.00005059603,0.00002671774,0.00002674115,0.00004231231],"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":[0.0001518646,0.00002858648,0.001109081,0.0000577367,0.00001319395,0.0002314833,0.00005815991,0.0003809011,0.9871244,0.003867183,0.0003345562,0.006642834],"study_design_scores_gemma":[0.0002778119,0.000562224,0.01330095,0.00004604759,0.0001291562,0.003831799,0.0005799916,0.02065361,0.8983352,0.00574574,0.05645601,0.00008145416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90745,0.0138999,0.05556321,0.001091077,0.0002781029,0.0001368047,0.001013471,0.0008263449,0.01974103],"genre_scores_gemma":[0.9783099,0.002829679,0.01230932,0.000205429,0.0000372749,0.0000896229,0.0008134799,0.0000509147,0.005354319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002632295,"threshold_uncertainty_score":0.008805871,"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."}}