{"id":"W2605571327","doi":"10.6000/1929-6029.2017.06.02.4","title":"Predictors of High Blood Pressure in South African Children: Quantile Regression Approach","year":2017,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile regression; Blood pressure; Percentile; Ordinary least squares; Body mass index; Quantile; Medicine; Regression analysis; Demography; Statistics; Internal medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002315774,0.0003247707,0.0004264352,0.0009845692,0.000260778,0.0006202207,0.0005046485,0.0003239188,0.003754595],"category_scores_gemma":[0.006879733,0.0002435796,0.0009460764,0.001480921,0.0002100092,0.0004795294,0.0005811027,0.0008355009,0.000360681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003504697,"about_ca_system_score_gemma":0.0004924482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01784157,"about_ca_topic_score_gemma":0.009394799,"domain_scores_codex":[0.9992224,0.000424587,0.00003331829,0.0001296194,0.00008800345,0.0001020167],"domain_scores_gemma":[0.998224,0.001015506,0.0004000953,0.0001192737,0.0001672055,0.00007394013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000110681,0.00004856574,0.9736684,0.00009377482,0.0003031977,0.000136816,0.000488001,0.00399373,0.0003315978,0.0008255357,0.0007390917,0.01926053],"study_design_scores_gemma":[0.000009450311,0.00009120631,0.9659104,0.0001176019,0.000150375,0.0001372174,0.001077953,0.02973099,0.0002853547,0.0009819996,0.001492624,0.00001481177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755593,0.001475739,0.017973,0.0008358628,0.00002814169,0.00005753329,0.002697321,0.00008180865,0.001291308],"genre_scores_gemma":[0.9954074,0.0003426145,0.003185824,0.00002544445,0.0000136785,0.00003649049,0.0006357863,0.00001085619,0.0003418638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01784157,"threshold_uncertainty_score":0.03547543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06860554600882811,"score_gpt":0.4051001969313078,"score_spread":0.3364946509224797,"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."}}