{"id":"W3132566478","doi":"10.1111/jth.15277","title":"Pharmacokinetic modeling and simulation support for age‐ and weight‐adjusted dosing of dabigatran etexilate in children with venous thromboembolism","year":2021,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto; University of Alberta; Children's Hospital of Eastern Ontario; Public Health Ontario; Hospital for Sick Children; University of Ottawa","funders":"","keywords":"Medicine; Venous thromboembolism; Dosing; Pharmacy; Emergency medicine; Family medicine; Pediatrics; Internal medicine; Thrombosis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001326591,0.0004108515,0.0004466267,0.0003430633,0.0002649859,0.0005187599,0.0006697493,0.0005236307,0.002393065],"category_scores_gemma":[0.007522565,0.0002999553,0.0006830462,0.0002596276,0.0001493258,0.0003186229,0.0003740029,0.0006058568,0.0002229518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008241959,"about_ca_system_score_gemma":0.002358841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02690163,"about_ca_topic_score_gemma":0.01471209,"domain_scores_codex":[0.9996606,0.0002139874,0.00002401863,0.00003384887,0.00004581172,0.00002168053],"domain_scores_gemma":[0.9961591,0.003043266,0.0002964068,0.00008000721,0.0003463046,0.00007497219],"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":[0.0001889446,0.00006392982,0.009641863,0.0000261685,0.00005654957,0.0000920989,0.00005336109,0.9808349,0.0003916188,0.00135006,0.0003432099,0.006957329],"study_design_scores_gemma":[0.00003544019,0.0000314413,0.0007421622,0.000005281627,0.00001752255,0.00001835962,0.000008884449,0.9983376,0.0001492362,0.0002911051,0.0003592803,0.000003636652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7256337,0.000375955,0.2618685,0.001576737,0.00007687159,0.0002794676,0.001284416,0.001022121,0.00788216],"genre_scores_gemma":[0.9406748,0.0003391744,0.05660079,0.0001234064,0.00003165593,0.0003041375,0.000638029,0.00008501465,0.001202958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02690163,"threshold_uncertainty_score":0.0534901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06517326257561906,"score_gpt":0.3335812100957367,"score_spread":0.2684079475201176,"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."}}