{"id":"W114184580","doi":"","title":"Abdominal obesity and cardiovascular disease risk factors within body mass index categories.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Abdominal obesity; Medicine; Body mass index; Waist-to-height ratio; Obesity; Waist; Overweight; Odds ratio; Waist–hip ratio; Demography; Logistic regression; Metabolic syndrome; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001715047,0.000323828,0.0007719512,0.0001370594,0.0001786408,0.00005699353,0.0001151504,0.0001494654,0.00002373726],"category_scores_gemma":[0.0005591647,0.0002651761,0.0007463908,0.0002132524,0.0002002058,0.000306866,0.0000816074,0.0003842063,0.00001765696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009878382,"about_ca_system_score_gemma":0.00006290297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005685532,"about_ca_topic_score_gemma":0.00002994787,"domain_scores_codex":[0.9974148,0.0002040646,0.0002885717,0.0004650534,0.0007905068,0.0008369972],"domain_scores_gemma":[0.9975058,0.00004579155,0.00009145168,0.0009648891,0.00008417273,0.001307844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001355991,0.0001414358,0.8505459,0.000131565,0.002472827,0.00004143396,0.0002388167,0.00002801769,0.000001643181,0.00003095306,0.0001489984,0.1460828],"study_design_scores_gemma":[0.00163193,0.00002002569,0.981205,0.00001192407,0.002642162,0.00001693069,0.0002305192,0.0000596794,0.0004568106,0.0001339949,0.01327831,0.0003127474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797558,0.01595937,0.0008612003,0.00003854043,0.000648097,0.001598266,0.00004208273,0.0001356905,0.0009609357],"genre_scores_gemma":[0.9974292,0.0003854441,0.0001136521,0.00005499705,0.0008835312,0.0006941175,0.00003683854,0.00005509743,0.000347116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.14577,"threshold_uncertainty_score":0.99998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428386190192139,"score_gpt":0.1975661283055993,"score_spread":0.1832822664036779,"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."}}