{"id":"W2789727743","doi":"10.1161/circulationaha.117.029617","title":"Cardiovascular and Metabolic Heterogeneity of Obesity","year":2018,"lang":"en","type":"review","venue":"Circulation","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":853,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research","keywords":"Medicine; Internal medicine; Hyperinsulinemia; Adipose tissue; Endocrinology; Obesity; Lipotoxicity; Insulin resistance; Metabolic syndrome; Adipokine; Body mass index; Dyslipidemia; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003496735,0.0002303586,0.002063765,0.0001388796,0.00004856359,0.00001016121,0.00005343784,0.0002637938,0.000009198356],"category_scores_gemma":[0.00004143052,0.000198587,0.002690601,0.0002188227,0.00008591132,0.00004709364,0.0000543235,0.000131227,0.00001577056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002304921,"about_ca_system_score_gemma":0.0001074898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001292252,"about_ca_topic_score_gemma":4.324421e-7,"domain_scores_codex":[0.9986244,0.0001861078,0.0003503519,0.0003867464,0.0003203275,0.0001321048],"domain_scores_gemma":[0.998841,0.00002016656,0.0001427756,0.000779308,0.00008467638,0.0001320856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006303502,0.00007186038,0.004090006,0.02623885,0.009221034,0.0000197103,0.00001494447,0.000001949103,0.000003616555,0.0000828877,0.00001506232,0.9602337],"study_design_scores_gemma":[0.0004519564,0.0000146576,0.07746023,0.004247906,0.04383979,0.0003273749,0.000001340641,0.00001404543,0.0000334837,0.00001995784,0.8733366,0.0002526319],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007743538,0.9908648,0.0003142502,0.000001182168,0.00009547353,0.0007518031,0.00002530893,0.00002997054,0.0001737451],"genre_scores_gemma":[0.01498087,0.9843721,0.00006505616,0.000006809312,0.0003416619,0.0000175341,0.0001790095,0.00002979893,0.000007196398],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9599811,"threshold_uncertainty_score":0.8098142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04244345256835742,"score_gpt":0.3021909855814118,"score_spread":0.2597475330130544,"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."}}