{"id":"W2102567304","doi":"10.1080/17477160600913578","title":"Predicting abdominal adipose tissue in overweight Latino youth","year":2006,"lang":"en","type":"article","venue":"International Journal of Pediatric Obesity","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; Health Canada; NIH Clinical Center; National Institutes of Health","keywords":"Medicine; Overweight; Waist; Anthropometry; Adipose tissue; Circumference; Body mass index; Concordance; Cross-sectional study; Skinfold thickness; Demography; Internal medicine; Mathematics; Geometry; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004480344,0.0001851571,0.0004097731,0.0004591074,0.00003886584,0.00004378259,0.0003154408,0.0001098817,0.0001296948],"category_scores_gemma":[0.0002341357,0.0001663084,0.0001941695,0.0002786563,0.00004235748,0.000399213,0.0001139851,0.0005875541,0.00003863678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003441832,"about_ca_system_score_gemma":0.0001775899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004539803,"about_ca_topic_score_gemma":0.00007977213,"domain_scores_codex":[0.9976295,0.00007472352,0.0007243953,0.0002051546,0.001111659,0.0002545331],"domain_scores_gemma":[0.9984091,0.0001882348,0.0005714888,0.0001335366,0.0005466912,0.0001509628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001681969,0.00516936,0.9920565,0.00002664569,0.00006415485,0.0006290942,0.0001382404,0.00007209439,0.0003684714,0.000260383,0.0004619011,0.000584978],"study_design_scores_gemma":[0.002199036,0.0003122444,0.9931595,0.00005409168,0.0002390466,0.0002121641,0.00005513113,0.0002453739,0.001597383,0.001629779,0.0001560337,0.0001401751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950553,0.0002079904,0.0001307657,0.0003569713,0.0009156954,0.0001332813,0.00003219352,0.00002199433,0.003145804],"genre_scores_gemma":[0.9906721,0.00005456044,0.0007959608,0.00007556103,0.00814598,0.000001131858,0.00001476606,0.00001948337,0.0002204333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007230284,"threshold_uncertainty_score":0.6781859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109321332585094,"score_gpt":0.2679266197453088,"score_spread":0.2569944864867995,"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."}}