{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005758361,0.0003281044,0.0009318475,0.0001401382,0.00003945806,0.00002218124,0.0002068772,0.0002051547,0.0004157379],"category_scores_gemma":[0.0004568657,0.0002941101,0.0002506228,0.0004225955,0.0003207138,0.00005430467,0.0002600076,0.0007313961,0.00001172786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002170247,"about_ca_system_score_gemma":0.0002012037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003932837,"about_ca_topic_score_gemma":9.727439e-7,"domain_scores_codex":[0.9967964,0.0002270543,0.001448065,0.0006984851,0.0003664381,0.0004635983],"domain_scores_gemma":[0.9981619,0.0004197951,0.0002243709,0.0004311365,0.000349443,0.000413326],"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":[0.003181048,0.005510308,0.2356708,0.001521691,0.0005169761,0.001252362,0.0001563963,0.0198518,0.6566887,0.0001291841,0.0009545576,0.07456615],"study_design_scores_gemma":[0.01484583,0.0006267949,0.1800582,0.0005280946,0.0007038689,0.0000478032,0.00002043805,0.7574447,0.04392277,0.0001368818,0.001179795,0.0004847499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937229,0.001489637,0.0008729359,0.0007561119,0.0003693403,0.0004813276,0.00002342327,0.00004705483,0.002237311],"genre_scores_gemma":[0.9884055,0.004031186,0.004526563,0.002565933,0.0002648923,0.00000590488,0.00004653728,0.00005044265,0.0001030879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7375929,"threshold_uncertainty_score":0.9999511,"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."}}