{"id":"W2073414946","doi":"10.1038/oby.2004.90","title":"Adipose Tissue Transcriptome by Serial Analysis of Gene Expression","year":2004,"lang":"en","type":"article","venue":"Obesity Research","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Transcriptome; Adipose tissue; Gene expression; Serial analysis of gene expression; Gene; Expression (computer science); Computational biology; Biology; Bioinformatics; Genetics; Endocrinology; Computer science","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":[0.0003058463,0.0004193438,0.0003294833,0.0005968377,0.0001544787,0.0004322901,0.0002233972,0.0001626654,0.0008847492],"category_scores_gemma":[0.0002247892,0.0001419489,0.0004681504,0.0008905708,0.0002600047,0.0003041617,0.0002263124,0.0005550542,0.0007031842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002275362,"about_ca_system_score_gemma":0.0001845648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003376622,"about_ca_topic_score_gemma":0.0005761862,"domain_scores_codex":[0.9997291,0.00003743628,0.00001603209,0.00009438922,0.00009460974,0.0000284002],"domain_scores_gemma":[0.9998183,0.00004311407,0.00006372083,0.00002136056,0.00003885534,0.00001470075],"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":[0.00007120867,0.00001490936,0.001083076,0.00008284294,0.00001128957,0.00002579189,0.00002325142,0.0002511443,0.9920082,0.00009705533,0.00007126995,0.006260017],"study_design_scores_gemma":[0.00002675729,0.0006609089,0.08563428,0.00005609352,0.0001356953,0.001059726,0.0001135767,0.01354177,0.8840993,0.0005118889,0.01412252,0.00003741098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7648504,0.00958547,0.2133056,0.0002296043,0.0001407922,0.0002825829,0.006737162,0.0007628986,0.004105557],"genre_scores_gemma":[0.7906451,0.01112697,0.1766585,0.0002539549,0.0001733332,0.0007342153,0.01280678,0.0004680243,0.007133188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008847492,"threshold_uncertainty_score":0.002959728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373539615221866,"score_gpt":0.3490560353880942,"score_spread":0.3153206392358755,"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."}}