{"id":"W2161490610","doi":"10.1081/bip-120017730","title":"Using WinBUGS to Fit Nonlinear Mixed Models with an Application to Pharmacokinetic Modelling of Insulin Response to Glucose Challenge in Sheep Exposed Antenatally to Glucocorticoids","year":2003,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Birth, Development, and Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Health and Medical Research Council","keywords":"Insulin; Medicine; Pharmacokinetics; Fetus; Endocrinology; Diabetes mellitus; Internal medicine; Glucocorticoid; Bolus (digestion); Gibbs sampling; Physiology; Pregnancy; Biology; Bayesian probability; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001443099,0.000301301,0.0007309246,0.0007065732,0.00006771919,0.00002711452,0.000224271,0.0001121881,0.00003133085],"category_scores_gemma":[0.0003076365,0.0002617203,0.00005077067,0.0009663801,0.00004564568,0.0001325958,0.00005367524,0.0004922253,0.00001335497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004101071,"about_ca_system_score_gemma":0.0007583381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000313396,"about_ca_topic_score_gemma":0.00002687386,"domain_scores_codex":[0.9965892,0.0002226749,0.001376441,0.0003906931,0.0008291115,0.0005918299],"domain_scores_gemma":[0.9966455,0.0001835626,0.0002726752,0.0002674388,0.0008285507,0.001802258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.06542033,0.003089895,0.0005705723,0.0006470684,0.0001776334,0.000899886,0.006268831,0.4105233,0.4711609,0.004284836,0.00009261745,0.03686415],"study_design_scores_gemma":[0.01157009,0.008827161,0.002970763,0.001008825,0.0003482345,0.000357403,0.0007616374,0.8759695,0.09388441,0.001863717,0.001653149,0.0007851336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5182938,0.0001063676,0.4797918,0.000864435,0.000071165,0.0007771163,0.00006620239,0.000008698776,0.00002038884],"genre_scores_gemma":[0.5800458,0.0008010218,0.4173137,0.001711623,0.0000714226,0.00001193514,0.000003894057,0.00003743963,0.000003209765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4654462,"threshold_uncertainty_score":0.9999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1305553366404204,"score_gpt":0.3847617383459047,"score_spread":0.2542064017054844,"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."}}