{"id":"W2102525693","doi":"10.1093/jn/134.4.762","title":"Gene Expression Profiling in Human Preadipocytes and Adipocytes by Microarray Analysis","year":2004,"lang":"en","type":"article","venue":"Journal of Nutrition","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":135,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University Health Network","keywords":"Adipogenesis; Biology; Adipose tissue; Microarray analysis techniques; Gene expression profiling; Adipocyte; Gene expression; Regulation of gene expression; Microarray; Gene; Cell biology; Genetics; Endocrinology","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":[0.0002132268,0.0001044196,0.0003578088,0.0004929571,0.00005599915,0.00002336374,0.00004512453,0.00006783278,0.00002625878],"category_scores_gemma":[0.0000839946,0.00008563552,0.0001299203,0.0003104395,0.00004121159,0.0002610128,0.000007928864,0.0001233006,8.468741e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007274208,"about_ca_system_score_gemma":0.00005194066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000181022,"about_ca_topic_score_gemma":0.000005646147,"domain_scores_codex":[0.9990146,0.00003682036,0.0004845671,0.0001193521,0.0002179719,0.0001267034],"domain_scores_gemma":[0.9992923,0.00002536126,0.0002781555,0.0000932629,0.0001718515,0.0001390906],"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":[0.0002188661,0.0007623854,0.03091901,0.0001536958,0.0001858283,0.00003978809,0.0002200125,0.00007923992,0.9663478,0.00003726111,0.0002718637,0.0007643022],"study_design_scores_gemma":[0.005920955,0.0002481858,0.07388014,0.0005941218,0.001173922,0.0001397223,0.0002016088,0.00001367362,0.9159729,0.0007968344,0.0009445433,0.0001133492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871194,0.01161846,0.0006833051,0.0002588224,0.00003901898,0.0001903368,0.00001126858,0.000010067,0.00006927579],"genre_scores_gemma":[0.9912344,0.001342259,0.006931217,0.00006316239,0.0003047823,0.000008734541,0.00006802303,0.000009713192,0.00003776818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0503748,"threshold_uncertainty_score":0.3492115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120995238974656,"score_gpt":0.2725260442220205,"score_spread":0.2604265203245549,"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."}}