{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008685994,0.0005365133,0.0002203564,0.0006019217,0.0001857551,0.0004579168,0.0002262097,0.0002490805,0.001250481],"category_scores_gemma":[0.002573547,0.00023465,0.0003121051,0.0003884856,0.0001282769,0.0002293359,0.0003418098,0.0003243264,0.0003974951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001819052,"about_ca_system_score_gemma":0.0003253446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009708705,"about_ca_topic_score_gemma":0.01196651,"domain_scores_codex":[0.9998499,0.00005501962,0.00001538745,0.0000287815,0.00002731316,0.0000235337],"domain_scores_gemma":[0.9993805,0.0001533443,0.0002577562,0.00002768507,0.00009726611,0.00008346973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002589314,0.00002130808,0.9985482,0.000003749556,0.00001153445,0.00001320642,0.00002717514,0.000077765,0.00009746895,0.00000469785,0.00004693971,0.001122117],"study_design_scores_gemma":[0.00001605546,0.0001007223,0.9969431,0.00001966526,0.0000341946,0.0001004867,0.0002124051,0.002097098,0.0002233573,0.00002542593,0.0002247078,0.000002837581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990723,0.0001082905,0.0002675525,0.00003373787,0.000004724927,0.00001345578,0.0002102795,0.00001107715,0.0002784248],"genre_scores_gemma":[0.9981416,0.0001240605,0.0008004204,0.00001978373,0.000005456092,0.00002260718,0.0005493761,0.000005573427,0.0003309975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009708705,"threshold_uncertainty_score":0.01930439,"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."}}