{"id":"W3124305292","doi":"10.3390/cells10020198","title":"Lipoprotein Lipase Regulates Microglial Lipid Droplet Accumulation","year":2021,"lang":"en","type":"article","venue":"Cells","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; Institute of Aging; National Cancer Institute; National Institute on Aging","keywords":"Microglia; ABCA1; Lipoprotein lipase; Cholesterol; Efflux; Chemistry; Lipid droplet; Endocrinology; Internal medicine; Biology; Inflammation; Biochemistry; Cell biology; Medicine; Adipose tissue; Gene; Transporter","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":[],"consensus_categories":[],"category_scores_codex":[0.00008872626,0.0001657434,0.0001386313,0.00003126204,0.00008044972,0.00005142311,0.0001301244,0.0002410991,0.0002520518],"category_scores_gemma":[0.00007057751,0.0001716135,0.0000975115,0.0001180313,0.00004935078,0.000006073564,0.0001263967,0.0001111406,0.0001163628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002184129,"about_ca_system_score_gemma":0.000116346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001249446,"about_ca_topic_score_gemma":0.00001140623,"domain_scores_codex":[0.9989489,0.00008312713,0.0001893075,0.0004080843,0.0001151945,0.000255422],"domain_scores_gemma":[0.9992965,0.000008676221,0.00006907248,0.000398296,0.0001228823,0.0001045981],"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":[0.000044213,0.00006765979,0.0002157739,0.00001524398,0.00003582145,0.000009167174,0.00003061467,0.00006613263,0.9925377,0.000007405739,0.004102937,0.002867355],"study_design_scores_gemma":[0.000375241,0.00006007631,0.00007656261,0.00001060251,0.00001025666,0.0000152214,0.0000228614,0.0000451894,0.9010387,0.00002341785,0.09813008,0.0001917965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976794,0.0005384723,0.000267001,0.0001730856,0.0005433053,0.0001471849,0.00002934379,0.00002902881,0.0005931771],"genre_scores_gemma":[0.9923195,0.0001341738,0.001346243,0.0002988673,0.0009925896,0.00001895288,0.0003235372,0.00003732381,0.004528821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09402715,"threshold_uncertainty_score":0.6998194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013128664592254,"score_gpt":0.2527690565329307,"score_spread":0.2396403919406767,"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."}}