{"id":"W2036103276","doi":"10.1038/oby.2006.43","title":"Visceral Fat Is an Independent Predictor of All‐cause Mortality in Men","year":2006,"lang":"en","type":"article","venue":"Obesity","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":637,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; National Institutes of Health","keywords":"Medicine; Intra-Abdominal Fat; Waist; Odds ratio; Internal medicine; Visceral fat; Logistic regression; Obesity; Subcutaneous fat; Adipose tissue; Gastroenterology; Insulin resistance","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":[0.0007110108,0.0004250803,0.000268521,0.0005134906,0.0002378713,0.0004353054,0.0003194773,0.0004029587,0.001475597],"category_scores_gemma":[0.002667699,0.0003193235,0.0003697179,0.0004247339,0.0003581463,0.0002544195,0.0003032988,0.0004064464,0.0001788833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031036,"about_ca_system_score_gemma":0.0001587853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538425,"about_ca_topic_score_gemma":0.001977025,"domain_scores_codex":[0.9997842,0.00007562789,0.00002033312,0.00004876161,0.00003894854,0.00003209196],"domain_scores_gemma":[0.9984412,0.0003118125,0.0008829553,0.00009007766,0.00008427865,0.0001898115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001704161,0.00001984295,0.9987788,0.000008910806,0.00006434568,0.00002921198,0.00001285238,0.00003758874,0.0001533069,0.000005225899,0.00003057552,0.0006889827],"study_design_scores_gemma":[0.000009000476,0.00007803259,0.9994038,0.000006037708,0.00004423371,0.0001654689,0.0000305005,0.0001457591,0.00006341332,0.00001363991,0.00003831349,0.000001723833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988702,0.0007000886,0.00008551075,0.00005479132,0.000007218084,0.00000354269,0.0001047368,0.000005475807,0.0001684204],"genre_scores_gemma":[0.9994937,0.0001935471,0.00007843417,0.00001257194,0.00002113835,0.000003039544,0.0001142881,0.000001088851,0.00008226644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001538425,"threshold_uncertainty_score":0.004936397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0570942194434152,"score_gpt":0.3560534353305352,"score_spread":0.29895921588712,"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."}}