{"id":"W2195385178","doi":"10.1111/ijpo.12083","title":"Variations in the prevalence and predictors of prevalent metabolically healthy obesity in adolescents","year":2015,"lang":"en","type":"article","venue":"Pediatric Obesity","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; York University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Waist; Abdominal obesity; Insulin resistance; Dyslipidemia; Metabolic syndrome; Obesity; Internal medicine; National Health and Nutrition Examination Survey; Percentile; Type 2 diabetes; Diabetes mellitus; Demography; Endocrinology; Environmental health; Population","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":[0.001377136,0.0002034862,0.0005096677,0.0002152669,0.00004715889,0.0000137704,0.0002591292,0.0001275247,0.000007822974],"category_scores_gemma":[0.0006595396,0.0001575531,0.00007936835,0.0008687038,0.00009343724,0.0001941555,0.0001891054,0.0004896043,0.00001102345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363217,"about_ca_system_score_gemma":0.0002673473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005414101,"about_ca_topic_score_gemma":0.00025231,"domain_scores_codex":[0.9975382,0.0004553789,0.0004906775,0.0004164019,0.0007346954,0.000364611],"domain_scores_gemma":[0.9987398,0.0001808293,0.000192077,0.0004660639,0.000150881,0.0002703648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008691036,0.01176407,0.9853276,0.001562064,0.000009048244,0.000008806679,0.0006931394,0.000005416234,0.000005507257,0.0003635915,0.000124401,0.00004947391],"study_design_scores_gemma":[0.001700758,0.0003525232,0.9962977,0.00007047126,0.0002427823,0.000006626979,0.00003484533,0.0001630485,0.00001795796,0.0009600704,0.00002967907,0.0001235725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967333,0.001200895,0.00002321463,0.0005022407,0.0001589244,0.001075901,0.00002766857,0.00003216168,0.0002456861],"genre_scores_gemma":[0.9987071,0.0005069184,0.0001260599,0.0001865105,0.0003871437,0.00003317087,0.000004275913,0.00001278146,0.00003601177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141154,"threshold_uncertainty_score":0.6424829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064970098207059,"score_gpt":0.2787941760155459,"score_spread":0.2581444750334753,"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."}}