{"id":"W3038815193","doi":"10.1161/jaha.119.015189","title":"Combined Influence of Waist and Hip Circumference on Risk of Death in a Large Cohort of European and Australian Adults","year":2020,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Lietuvos Sveikatos Mokslų Universitetas; Helmholtz Zentrum München; Umeå Universitet; Université de Toulouse; Istituto Superiore di Sanità; Hjärt-Lungfonden; Università degli Studi dell'Insubria; European Commission; Queen's University; Institut National de la Santé et de la Recherche Médicale; Université de Strasbourg; Turun Yliopisto; Turun Yliopistollinen Keskussairaala; Uniwersytet Jagielloński Collegium Medicum","keywords":"Waist; Medicine; Circumference; Hazard ratio; Cohort; Waist–hip ratio; Demography; Cohort study; Proportional hazards model; Internal medicine; Obesity; Confidence interval","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":[0.001327674,0.0003838468,0.0004908583,0.0007459152,0.0005302274,0.0006968633,0.0004534406,0.0004751527,0.0006605598],"category_scores_gemma":[0.002520735,0.0004117517,0.0005871215,0.0008562119,0.0003805849,0.0004050806,0.001143599,0.0005747867,0.0001431826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512177,"about_ca_system_score_gemma":0.0004472818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03967862,"about_ca_topic_score_gemma":0.03770676,"domain_scores_codex":[0.9992794,0.0002779818,0.00006189122,0.0001614896,0.0001175204,0.0001015406],"domain_scores_gemma":[0.9989275,0.0001851551,0.0003222486,0.0001730534,0.0001838495,0.0002081282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001347416,0.00001963165,0.9974273,0.00001892292,0.0001262789,0.0001166491,0.0003459826,0.00003096203,0.0001792794,0.00001792981,0.0001015189,0.0014807],"study_design_scores_gemma":[0.000002269457,0.00002270296,0.9996253,0.00000499886,0.00002901113,0.00007599715,0.0000837699,0.00006640427,0.00001188396,0.00001444796,0.00006131834,0.000001866887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992305,0.0002587097,0.0000533296,0.00003736444,0.000003194218,0.000006082145,0.0001962868,0.000002047899,0.0002123397],"genre_scores_gemma":[0.9992817,0.0002035102,0.0001046244,0.00002681158,0.000006012987,0.00001276923,0.0002070599,0.000001276535,0.0001564618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03967862,"threshold_uncertainty_score":0.07889533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302426477457948,"score_gpt":0.2658338878911618,"score_spread":0.2528096231165823,"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."}}