{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009232258,0.0001445601,0.001291948,0.000252852,0.0000817504,0.00001604041,0.00009539754,0.00003809018,0.000003092461],"category_scores_gemma":[0.002624607,0.00008804727,0.001106007,0.0008692457,0.0001165679,0.0002184979,0.00005172966,0.0002063971,7.637699e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920309,"about_ca_system_score_gemma":0.00007239552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003984155,"about_ca_topic_score_gemma":0.000002697644,"domain_scores_codex":[0.9978189,0.0003832064,0.0003261539,0.0001471543,0.001142955,0.0001816413],"domain_scores_gemma":[0.9976301,0.0005307133,0.0009465887,0.0002398857,0.0005368954,0.000115834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007781948,0.0007644694,0.994678,0.00004052898,0.002823689,1.900854e-7,0.000128349,0.0001756003,0.0007943549,4.420619e-7,0.0001614977,0.0003550692],"study_design_scores_gemma":[0.0009734707,0.0007988663,0.994557,0.00004482257,0.001975853,0.000002249738,0.0002214181,0.0001549489,0.001024578,0.0001205109,0.00004865477,0.00007758263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983855,0.0005662698,0.00004100733,0.00007072072,0.0003447721,0.0004802798,0.00007521595,0.000008602867,0.0000276717],"genre_scores_gemma":[0.9993495,0.0001894174,0.00007776243,0.00001702381,0.0003213284,0.000003482926,0.000001577011,0.00001910726,0.00002074162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001701381,"threshold_uncertainty_score":0.3590463,"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."}}