{"id":"W2745465257","doi":"10.1194/jlr.m079152","title":"Agpat4/Lpaatδ deficiency highlights the molecular heterogeneity of epididymal and perirenal white adipose depots","year":2017,"lang":"en","type":"article","venue":"Journal of Lipid Research","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"White adipose tissue; Endocrinology; Internal medicine; Phosphatidic acid; Lipogenesis; Adipose tissue; Adipose triglyceride lipase; Acyltransferase; Lysophosphatidic acid; Chemistry; Adipose capsule of kidney; Epididymis; Lipolysis; Biology; Biochemistry; Enzyme; Kidney; Receptor; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001534697,0.0007715895,0.0003433881,0.0008826597,0.0001912622,0.0005400139,0.0004826139,0.0003656655,0.003146797],"category_scores_gemma":[0.0001760646,0.0002466156,0.0003439593,0.0003510786,0.0005264264,0.0004161696,0.0005173802,0.0008580793,0.0005482364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002524952,"about_ca_system_score_gemma":0.0001546229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006281937,"about_ca_topic_score_gemma":0.0009184032,"domain_scores_codex":[0.9998084,0.00001957441,0.00002370209,0.0000686378,0.00004706721,0.00003266565],"domain_scores_gemma":[0.9998214,0.00002900832,0.00004591768,0.00002867578,0.00001911695,0.00005604916],"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":[0.0002393695,0.00001220107,0.000639171,0.00002784044,0.00001096178,0.0001868788,0.000009311287,0.00004682083,0.9976478,0.00008878171,0.00001800884,0.00107284],"study_design_scores_gemma":[0.00002601888,0.0001801183,0.0299693,0.00001186336,0.00007572681,0.002056235,0.0001264758,0.001055241,0.9643763,0.0004385539,0.001669881,0.00001425393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875037,0.0008037528,0.008788996,0.0001510809,0.0000478895,0.00001636648,0.001201827,0.0002580501,0.001228336],"genre_scores_gemma":[0.9900731,0.0006030586,0.004655782,0.00008179455,0.00001442936,0.00003391931,0.0009339993,0.0001222157,0.003481816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003146797,"threshold_uncertainty_score":0.01052707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04040386726262626,"score_gpt":0.3459049691356957,"score_spread":0.3055011018730694,"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."}}