{"id":"W2139839031","doi":"10.1161/circimaging.110.956706","title":"Prevalence, Distribution, and Risk Factor Correlates of High Pericardial and Intrathoracic Fat Depots in the Framingham Heart Study","year":2010,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Medicine; Adipose tissue; Framingham Heart Study; Waist; Pericardium; Intra-Abdominal Fat; Internal medicine; Risk factor; Epicardial fat; Obesity; Cardiology; Body mass index; Framingham Risk Score; Visceral fat; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001117042,0.0003617925,0.0003810682,0.001161178,0.0003414728,0.0004441123,0.0003496757,0.0005085616,0.0006864779],"category_scores_gemma":[0.002420507,0.000352803,0.0002997198,0.00070899,0.0003337773,0.0002463256,0.0004028301,0.0005342316,0.00007982533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609311,"about_ca_system_score_gemma":0.0001524809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005268731,"about_ca_topic_score_gemma":0.005345195,"domain_scores_codex":[0.9993954,0.0001920121,0.0000547308,0.0001475918,0.0001098126,0.0001005347],"domain_scores_gemma":[0.9986138,0.0002782615,0.0006117828,0.00009917527,0.0001312449,0.0002657979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000771928,0.00001501261,0.9989626,0.000005251313,0.00004928838,0.00008626348,0.0000598271,0.00001488636,0.0001190096,0.000009475785,0.00006271782,0.0005385332],"study_design_scores_gemma":[0.00000315427,0.00002101753,0.9996952,0.000003304676,0.00002368926,0.000139017,0.00003259521,0.00004394978,0.00001108649,0.000007645649,0.00001786075,0.000001519218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991191,0.0004845638,0.00004764573,0.0000348259,0.000007632125,0.000003700851,0.0001060878,0.000002556813,0.0001939229],"genre_scores_gemma":[0.9996994,0.0001008458,0.00004073462,0.00001273275,0.00001491097,0.00000386238,0.00009585513,7.810034e-7,0.00003100292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005268731,"threshold_uncertainty_score":0.01047611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00634490198260678,"score_gpt":0.2374364346397548,"score_spread":0.231091532657148,"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."}}