{"id":"W2005937582","doi":"10.5539/gjhs.v2n2p154","title":"Sex Differences in the Impact of Body Mass Index (BMI) and Waist /Hip (W/H) Ratio on Patients with Metabolic Risk Factors in Baghdad","year":2010,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waist; Medicine; Body mass index; Abdominal obesity; Waist–hip ratio; Obesity; Demography; Circumference; Internal medicine; Correlation; Diabetes mellitus; Metabolic syndrome; Waist-to-height ratio; Analysis of variance; Endocrinology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005169824,0.0002474331,0.0003235342,0.0004710585,0.0004819739,0.0005362646,0.0001768171,0.0003225512,0.002752347],"category_scores_gemma":[0.0008899817,0.000238974,0.0004445838,0.0003998118,0.0002268101,0.0003210194,0.0003219997,0.0004698203,0.0003136129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002100254,"about_ca_system_score_gemma":0.000336416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002673022,"about_ca_topic_score_gemma":0.004204473,"domain_scores_codex":[0.9995889,0.0001070019,0.00003736615,0.00007890997,0.00008191571,0.0001059232],"domain_scores_gemma":[0.9994239,0.0001456126,0.0001846064,0.00003994221,0.00006790707,0.0001381033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002605564,0.0001216039,0.9967383,0.00001025755,0.00003308388,0.0001333698,0.0001378473,0.00001391827,0.0001800117,0.00001270785,0.0001269738,0.002231383],"study_design_scores_gemma":[0.000007228897,0.0002664044,0.9988404,0.000006218982,0.00001986947,0.0002893646,0.0003304304,0.00003978253,0.0000482009,0.00001186533,0.0001375956,0.00000272329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991719,0.0003556997,0.00002775113,0.00005208639,0.00001468901,0.000002849555,0.0000822649,0.000001292394,0.0002915451],"genre_scores_gemma":[0.9993604,0.0001563757,0.00003649097,0.00004055734,0.0000213799,0.000003713558,0.00014346,0.000001070868,0.0002366558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002752347,"threshold_uncertainty_score":0.009207487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502043260238547,"score_gpt":0.3191307655052819,"score_spread":0.3041103329028965,"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."}}