{"id":"W3035956123","doi":"10.1101/2020.06.23.164772","title":"Defining the lineage of thermogenic perivascular adipose tissue","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Institutes of Health; University of Pennsylvania","keywords":"Adipogenesis; Adipose tissue; Peroxisome proliferator-activated receptor gamma; Progenitor cell; Biology; Cell biology; White adipose tissue; Stromal vascular fraction; Adipocyte; Stromal cell; Population; Stem cell; Endocrinology; Internal medicine; Cancer research; Peroxisome proliferator-activated receptor; Medicine; Genetics","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":[0.0002170722,0.0001328652,0.0001320845,0.000340977,0.0001882614,0.0005654516,0.000121364,0.0001754039,0.001317033],"category_scores_gemma":[0.0001540317,0.00008383343,0.0001150666,0.0001539574,0.0002605511,0.0001947173,0.0002666052,0.000416952,0.0006454238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001129557,"about_ca_system_score_gemma":0.0001709065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003446413,"about_ca_topic_score_gemma":0.0004899993,"domain_scores_codex":[0.9999149,0.0000108585,0.000007139532,0.00003127554,0.00001979326,0.00001604147],"domain_scores_gemma":[0.9998943,0.00002957596,0.00002282961,0.00001261546,0.0000169906,0.00002361667],"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":[0.00003239521,0.000004766169,0.00186321,0.00004270369,0.000002653069,0.00007701236,0.00006320838,0.00007536063,0.9930052,0.0009183309,0.00008199541,0.003833193],"study_design_scores_gemma":[0.00001106327,0.00009637678,0.03826098,0.00006207415,0.00002108401,0.001692709,0.0003304116,0.002283165,0.9271756,0.002082279,0.02797359,0.00001070331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469822,0.005637788,0.03765718,0.0002738187,0.0001051734,0.00006095928,0.00184337,0.0001046065,0.007334901],"genre_scores_gemma":[0.9630629,0.00298423,0.02460463,0.0001498933,0.00009239699,0.00007357079,0.002888363,0.00008197621,0.006062111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001317033,"threshold_uncertainty_score":0.004405856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111093382757412,"score_gpt":0.2257316244371042,"score_spread":0.214622286161363,"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."}}