{"id":"W4402769322","doi":"10.1016/j.eclinm.2024.102848","title":"Burden of disease attributable to high body mass index: an analysis of data from the Global Burden of Disease Study 2021","year":2024,"lang":"en","type":"article","venue":"EClinicalMedicine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; University of Alberta; Université de Montréal","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Medicine; Disease; Body mass index; Burden of disease; Disease burden; Index (typography); Environmental health; Internal medicine; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002566376,0.0003050916,0.002043424,0.0002212195,0.00004482782,0.00002251315,0.001020984,0.000104022,0.001144872],"category_scores_gemma":[0.002830057,0.0001994904,0.0006407608,0.002097186,0.0003375821,0.000166194,0.0005445905,0.0003102573,0.00002708755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006581223,"about_ca_system_score_gemma":0.0005048859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04507534,"about_ca_topic_score_gemma":0.0005851529,"domain_scores_codex":[0.9952186,0.0004121689,0.001435468,0.0009880897,0.001591441,0.0003542754],"domain_scores_gemma":[0.9934626,0.0008146776,0.0002492404,0.004227415,0.0003287231,0.0009173617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005110684,0.002763309,0.8794904,0.0006432213,0.03255196,0.0005880498,0.0009044031,0.00399233,0.0001397523,0.0001150214,0.005833461,0.06786736],"study_design_scores_gemma":[0.003137219,0.001377321,0.9338936,0.0007880478,0.03672792,3.576781e-7,0.001585972,0.01611581,0.00001828777,0.0003534552,0.005792625,0.0002094476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788383,0.007328792,0.001467528,0.004638034,0.0004184766,0.001406426,0.005767865,0.00004517455,0.0000893843],"genre_scores_gemma":[0.994622,0.0002547438,0.0002570325,0.0001874064,0.001966408,0.00003443265,0.002471861,0.00003362226,0.0001724928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06765791,"threshold_uncertainty_score":0.9997682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04741204463453916,"score_gpt":0.369482206087506,"score_spread":0.3220701614529669,"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."}}