{"id":"W2157817461","doi":"10.2337/dc13-1697","title":"Predictors of Metabolically Healthy Obesity in Children","year":2014,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; York University; Stollery Children's Hospital; Alberta Health Services","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Waist; Obesity; Logistic regression; Anthropometry; Odds ratio; Internal medicine; Insulin resistance; Metabolic syndrome; Body mass index; Childhood obesity; Diabetes mellitus; Pediatrics; Endocrinology; Overweight","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":[0.0004920241,0.0003510815,0.00027591,0.0006042643,0.0002657358,0.0004859352,0.0002606229,0.0003232589,0.001559541],"category_scores_gemma":[0.002457235,0.000299923,0.0002956303,0.0007960871,0.0002454631,0.0003761284,0.0003911729,0.0006412108,0.0001898636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174784,"about_ca_system_score_gemma":0.0003288005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004532929,"about_ca_topic_score_gemma":0.00497287,"domain_scores_codex":[0.9996144,0.00008417788,0.00004705668,0.00008108667,0.0001079969,0.00006529592],"domain_scores_gemma":[0.9980647,0.0002639474,0.001273324,0.00004232307,0.0001258803,0.0002298496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000992595,0.000005665833,0.9996044,0.000004136296,0.000006188954,0.00002046181,0.000009647379,0.000009445997,0.0000245511,0.000003398837,0.00002831023,0.0002739128],"study_design_scores_gemma":[0.000001771512,0.00002408876,0.9995407,0.0000065377,0.000007178684,0.0002338501,0.00005738181,0.00005289574,0.00001781423,0.000005278399,0.00005154653,8.706614e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985348,0.0005350148,0.00007332664,0.0001043979,0.000007781309,0.000005996952,0.0003804015,0.00000568131,0.0003526318],"genre_scores_gemma":[0.9991479,0.0002361364,0.000144169,0.00001652178,0.00001086787,0.000007666456,0.0003768473,0.000002278898,0.00005766872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004532929,"threshold_uncertainty_score":0.009013116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00558038385198827,"score_gpt":0.234719916176035,"score_spread":0.2291395323240467,"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."}}