{"id":"W2027279207","doi":"10.1038/ijo.2008.214","title":"Obesity and aging have divergent genomic fingerprints","year":2008,"lang":"en","type":"article","venue":"International Journal of Obesity","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Longevity; Obesity; Biology; Gene expression; Microarray; Endocrinology; Microarray analysis techniques; Internal medicine; Gene; Senescence; Visceral fat; Gene expression profiling; Intra-Abdominal Fat; Medicine; Genetics; Insulin resistance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003260464,0.0002406289,0.0004497311,0.001248428,0.0002610872,0.0006434369,0.0001897997,0.0003928263,0.0021173],"category_scores_gemma":[0.001173774,0.0001883348,0.0002546859,0.0006705808,0.0004501124,0.0003376506,0.0005434857,0.000413374,0.0002744089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016765,"about_ca_system_score_gemma":0.00009318875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002649823,"about_ca_topic_score_gemma":0.0003138366,"domain_scores_codex":[0.9997497,0.00005409563,0.00001481899,0.00008428761,0.00004528393,0.00005184026],"domain_scores_gemma":[0.9991153,0.00030264,0.0002546203,0.0001214411,0.00008551696,0.0001204432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00600156,0.0002317183,0.515434,0.0002857012,0.0009279947,0.001245435,0.001799222,0.0005796785,0.3506713,0.01000777,0.001190916,0.1116247],"study_design_scores_gemma":[0.00003389715,0.0003294091,0.9826105,0.00003166367,0.0002606862,0.001331942,0.0004058,0.0002779003,0.007048587,0.005193735,0.002447351,0.00002855433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932608,0.00170855,0.001557639,0.0002743134,0.00002608177,0.000008134268,0.0006374446,0.00002746052,0.002499574],"genre_scores_gemma":[0.9969554,0.0006874531,0.0006581458,0.0001627749,0.0000480583,0.00001311948,0.0005199083,0.00001591688,0.0009393964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0021173,"threshold_uncertainty_score":0.007083118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251413027609208,"score_gpt":0.2879447605723857,"score_spread":0.2628034578114649,"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."}}