{"id":"W4416572479","doi":"10.6000/1929-6029.2025.14.66","title":"Comparing Frequentist and Bayesian Quantile Regression Models for Child Hypertension in South Africa","year":2025,"lang":"","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frequentist inference; Quantile regression; Quantile; Bayesian probability; Bayesian linear regression; Credible interval; Confidence interval; Bayesian inference; Regression","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":[0.01598019,0.0006620132,0.001041113,0.0008790939,0.0004007507,0.001557196,0.001653469,0.001043985,0.002431387],"category_scores_gemma":[0.05265052,0.0004709936,0.001342648,0.001025257,0.0006870012,0.001039998,0.001288736,0.00156139,0.0002669534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151301,"about_ca_system_score_gemma":0.001371015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05452668,"about_ca_topic_score_gemma":0.02210375,"domain_scores_codex":[0.9954691,0.00363816,0.0001124607,0.0003762439,0.0001718439,0.00023216],"domain_scores_gemma":[0.9650581,0.0314565,0.001770292,0.0005896742,0.0008706843,0.0002547604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001096327,0.0001690529,0.1292987,0.0004613305,0.00133659,0.0004003126,0.001867744,0.7804345,0.000394568,0.02521293,0.002106802,0.05722108],"study_design_scores_gemma":[0.00008557349,0.000140967,0.0283408,0.0001692114,0.0001862835,0.0000774006,0.0004484748,0.9536014,0.0001044401,0.01549975,0.001309023,0.00003667516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7946282,0.002735561,0.1964456,0.002328423,0.0000706372,0.00019813,0.001036021,0.000207525,0.002349788],"genre_scores_gemma":[0.9810206,0.0006640262,0.01675177,0.00009772898,0.00003339925,0.0001121695,0.0004924645,0.00003657414,0.000791192],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05452668,"threshold_uncertainty_score":0.1084186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.132625966264432,"score_gpt":0.4311490841740078,"score_spread":0.2985231179095758,"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."}}