{"id":"W2967036405","doi":"10.1161/jaha.118.010870","title":"Predictive Values of Anthropometric Measurements for Cardiometabolic Risk Factors and Cardiovascular Diseases Among 44 048 Chinese","year":2019,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"Wellcome Trust","keywords":"Medicine; Waist; Dyslipidemia; Body mass index; Anthropometry; Internal medicine; Waist-to-height ratio; Circumference; Receiver operating characteristic; Population; Waist–hip ratio; Logistic regression; Obesity; Environmental health","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":[0.001045067,0.0004517845,0.000304424,0.0008394279,0.000467023,0.0005446632,0.0003172873,0.000311504,0.0009595842],"category_scores_gemma":[0.002723691,0.0002654038,0.0003698205,0.0006974589,0.0003983674,0.0003286939,0.0003816385,0.0004382147,0.0001359972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003586041,"about_ca_system_score_gemma":0.0004579325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007856067,"about_ca_topic_score_gemma":0.006981913,"domain_scores_codex":[0.9995958,0.000102763,0.00004893697,0.00009630341,0.00008970971,0.00006639142],"domain_scores_gemma":[0.9989119,0.0002981975,0.0003289991,0.000124174,0.0001733502,0.0001633585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004413951,0.00001372367,0.998661,0.000003357718,0.000026794,0.00004415487,0.00004304692,0.00005169026,0.0001534817,0.00001094362,0.00002006445,0.0009274485],"study_design_scores_gemma":[0.000004177235,0.00003625282,0.9991929,0.000002513899,0.00002970356,0.00007673726,0.00008067868,0.0004110452,0.00007446622,0.00003009431,0.00005859007,0.000002780876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995711,0.00008205248,0.00005513274,0.0000241667,0.000003900445,0.000005695239,0.00005795886,0.000002181031,0.0001976776],"genre_scores_gemma":[0.9996847,0.00004534533,0.0000842548,0.00001048663,0.000006917473,0.000008772756,0.00007838722,9.438025e-7,0.00008023366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007856067,"threshold_uncertainty_score":0.01562071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262266638537902,"score_gpt":0.2782268152526514,"score_spread":0.2656041488672724,"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."}}