{"id":"W2140727482","doi":"10.1152/ajpendo.00202.2006","title":"Identification of depot-specific human fat cell progenitors through distinct expression profiles and developmental gene patterns","year":2006,"lang":"en","type":"article","venue":"American Journal of Physiology-Endocrinology and Metabolism","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":345,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging","keywords":"Biology; Adipose tissue; Progenitor cell; Intra-Abdominal Fat; Population; Gene expression; Endocrinology; Internal medicine; Adipocyte; Gene; Visceral fat; Genetics; Stem cell; Obesity; Medicine","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":[0.00009637058,0.0002112671,0.0007007955,0.0001692205,0.0001504415,0.000008917434,0.0001059413,0.00005274858,0.00002845924],"category_scores_gemma":[0.00003757099,0.0001603988,0.00009881891,0.0001416965,0.0007384162,0.0001822253,0.00005667128,0.0001865802,0.000001752518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001344918,"about_ca_system_score_gemma":0.00006692533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005547947,"about_ca_topic_score_gemma":0.000002178176,"domain_scores_codex":[0.9983476,0.0001614517,0.0007951945,0.0002600499,0.0001645732,0.0002710858],"domain_scores_gemma":[0.9985002,0.00006256764,0.0009368941,0.0001504208,0.0002495938,0.0001003549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002090789,0.0002252918,0.03567879,0.00007085366,0.00008223196,0.00001421341,0.0003795708,0.000002013734,0.9542741,0.0004543211,0.0001446085,0.008464948],"study_design_scores_gemma":[0.0009770362,0.0001062788,0.5904123,0.00002608372,0.0001756457,0.0002496729,0.0006614163,6.905066e-7,0.4047375,0.0004265631,0.002130691,0.00009610349],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938987,0.005226405,0.0002611703,0.00006756856,0.0002163404,0.0002131975,0.00002827559,0.00001688705,0.00007146473],"genre_scores_gemma":[0.9953377,0.001863982,0.001998891,0.0000421878,0.0006179241,0.00001680858,0.00004078152,0.00001800507,0.00006367938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5547335,"threshold_uncertainty_score":0.6540871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114138146824448,"score_gpt":0.2533980157145584,"score_spread":0.242256634246314,"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."}}