{"id":"W2321552133","doi":"10.1097/hjh.0b013e32834be614","title":"Ability of different adiposity indicators to identify children with elevated blood pressure","year":2011,"lang":"en","type":"article","venue":"Journal of Hypertension","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; McGill University Health Centre; Centre Hospitalier Universitaire Sainte-Justine; University of Alberta; Université de Montréal; Université Laval; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Waist; Percentile; Blood pressure; Waist-to-height ratio; Body mass index; Receiver operating characteristic; Body fat percentage; Circumference; Internal medicine; Obesity; Logistic regression; Demography; Statistics","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":[0.0002187471,0.0001716569,0.0006839029,0.0002024706,0.00004167629,0.000006473333,0.0001629992,0.00009304663,0.00005744172],"category_scores_gemma":[0.0001352854,0.0001028419,0.0001708691,0.0002549122,0.00008012758,0.0001336457,0.00008999671,0.00039895,0.000004839385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001935902,"about_ca_system_score_gemma":0.00005193426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007062616,"about_ca_topic_score_gemma":0.000006297837,"domain_scores_codex":[0.9985064,0.00008762659,0.0004157719,0.0001932589,0.0006078907,0.0001890027],"domain_scores_gemma":[0.998473,0.0000452393,0.0004071859,0.000336638,0.0004212626,0.0003166936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005807083,0.01057374,0.8143526,0.00006034242,0.0008777119,0.00005802541,0.0001405684,0.000001158896,0.172889,0.00001649125,0.0001380328,0.0003115952],"study_design_scores_gemma":[0.001497242,0.002457426,0.8054844,0.0001924829,0.002241457,0.0003666612,0.00001221807,0.000005390703,0.1875198,0.0001287743,0.000006643665,0.00008751081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992163,0.0001396768,0.00001361932,0.0001559553,0.00008296342,0.0003005774,0.000005248179,0.00001500659,0.00007068638],"genre_scores_gemma":[0.9993259,0.00001244427,0.0004023944,0.0001153859,0.0001079819,0.000001056437,0.000002262195,0.00001919829,0.00001343017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01463086,"threshold_uncertainty_score":0.419377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130436803697501,"score_gpt":0.2495743013357064,"score_spread":0.2282699332987314,"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."}}