{"id":"W2900051103","doi":"10.5812/ijem.55023","title":"Waist Circumference to Height Ratio: Better Correlation with Fat Mass Than Other Anthropometric Indices During Dietary Weight Loss in Different Rates","year":2018,"lang":"en","type":"article","venue":"International Journal of Endocrinology and Metabolism","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Student Research Committee, Tabriz University of Medical Sciences; Ahvaz Jundishapur University of Medical Sciences","keywords":"Waist-to-height ratio; Body Shape Index; Waist; Body adiposity index; Overweight; Anthropometry; Body mass index; Obesity; Classification of obesity; Circumference; Lean body mass; Basal metabolic rate; Medicine; Internal medicine; Endocrinology; Animal science; Body weight; Fat mass; Mathematics; Biology; Geometry","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":[0.0008893149,0.0004497727,0.0003557471,0.0005819231,0.0001267088,0.0003536473,0.0002101558,0.0003218447,0.001348878],"category_scores_gemma":[0.002092565,0.0002012707,0.000312682,0.0005582367,0.0001338104,0.0002676387,0.0002740598,0.0004059999,0.0004463475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006668415,"about_ca_system_score_gemma":0.00007868226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008317438,"about_ca_topic_score_gemma":0.0007642607,"domain_scores_codex":[0.9996287,0.0001003551,0.00004644109,0.000103895,0.00007938336,0.00004128103],"domain_scores_gemma":[0.999029,0.0002551817,0.0004119409,0.00008717408,0.0001163239,0.0001003706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004042625,0.00007361689,0.9870874,0.00002907826,0.00009909723,0.00005055,0.00006843042,0.00006484158,0.002102586,0.00001435899,0.0001137076,0.009892057],"study_design_scores_gemma":[0.000004219,0.0001293015,0.9991911,0.000004145937,0.00002183832,0.0001274328,0.00003912985,0.0001442465,0.0002116026,0.000008242005,0.0001166886,0.000001976143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967738,0.0006566671,0.0009476219,0.00003691655,0.00003024292,0.00002477633,0.0002519672,0.00003996571,0.001238079],"genre_scores_gemma":[0.9981828,0.0001778817,0.000756243,0.00002109036,0.00002643307,0.00002039284,0.0003593949,0.00001149204,0.0004442197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001348878,"threshold_uncertainty_score":0.004703224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550038563653476,"score_gpt":0.2864151131922665,"score_spread":0.2709147275557318,"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."}}