{"id":"W3174954811","doi":"10.1007/s40262-021-01046-6","title":"Physiologically Based Pharmacokinetic Modeling of Meropenem in Preterm and Term Infants","year":2021,"lang":"en","type":"article","venue":"Clinical Pharmacokinetics","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Minority Health and Health Disparities; National Institute of Allergy and Infectious Diseases; National Institute on Alcohol Abuse and Alcoholism; U.S. Food and Drug Administration; National Institute of General Medical Sciences; American Foundation for Pharmaceutical Education","keywords":"Meropenem; Physiologically based pharmacokinetic modelling; Dosing; Pharmacokinetics; Medicine; Population; Pharmacology; Antibiotics; Biology; Microbiology","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":[0.0004035479,0.0004164758,0.0007645349,0.0002177113,0.0001994153,0.0008740599,0.0007045299,0.0009674739,0.0007893994],"category_scores_gemma":[0.001602553,0.0002724215,0.0007275458,0.0002085995,0.0002454125,0.0003916901,0.0003379459,0.0006855237,0.000245538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007035596,"about_ca_system_score_gemma":0.001090489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008951701,"about_ca_topic_score_gemma":0.00260338,"domain_scores_codex":[0.999835,0.0000654563,0.000007458465,0.00002747572,0.00003731637,0.00002722724],"domain_scores_gemma":[0.9996544,0.0002311136,0.00004432759,0.000008037899,0.00004609256,0.00001594684],"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":[0.0002753369,0.00006583855,0.002309042,0.00009959517,0.0000616368,0.0003599142,0.00008773097,0.9759008,0.007907867,0.003570625,0.0005101407,0.008851422],"study_design_scores_gemma":[0.00002157604,0.0001158387,0.001229632,0.00001005788,0.00002587664,0.0001449472,0.00002360688,0.9957787,0.001050436,0.0009599684,0.000627064,0.00001221932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7852936,0.006711208,0.1887379,0.001662413,0.0001163746,0.0001500572,0.0009353455,0.0002988105,0.01609423],"genre_scores_gemma":[0.989627,0.001566159,0.004252994,0.0001335457,0.00003369117,0.0001133006,0.000192042,0.00003266438,0.004048448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008951701,"threshold_uncertainty_score":0.0177992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08503266443552253,"score_gpt":0.4117128196927645,"score_spread":0.326680155257242,"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."}}