{"id":"W3095013792","doi":"10.1093/nar/gkaa990","title":"PK-DB: pharmacokinetics database for individualized and stratified computational modeling","year":2020,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Bundesministerium für Bildung und Forschung","keywords":"Pharmacokinetics; Physiologically based pharmacokinetic modelling; Database; Population; Computer science; Dosing; Bioinformatics; Pharmacology; Biology; Medicine","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":[0.005696309,0.001750632,0.00274921,0.002735493,0.000584512,0.006134363,0.004323448,0.001880672,0.04499251],"category_scores_gemma":[0.01972664,0.001422915,0.002734757,0.003003196,0.0004801785,0.002863717,0.003714836,0.002711262,0.02497311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088972,"about_ca_system_score_gemma":0.005106193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003637668,"about_ca_topic_score_gemma":0.00308919,"domain_scores_codex":[0.9975266,0.0006812804,0.0005916253,0.0004891932,0.0005610703,0.0001503432],"domain_scores_gemma":[0.9924802,0.003802033,0.0006443143,0.001589068,0.001012515,0.0004719039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003164954,0.000342753,0.007419471,0.008624568,0.002119188,0.0008103959,0.0004541645,0.04093556,0.005106677,0.07031194,0.7047235,0.1559869],"study_design_scores_gemma":[0.00109753,0.0001365326,0.002182154,0.0006883951,0.0005175455,0.0005311336,0.00009056121,0.05361733,0.00503792,0.0684986,0.8674307,0.0001714945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.003955336,0.004729977,0.3688203,0.00245701,0.000666348,0.0008698375,0.4469245,0.1563825,0.01519424],"genre_scores_gemma":[0.06182726,0.006808884,0.2662161,0.003440031,0.0004625837,0.004436674,0.6161531,0.03347594,0.0071794],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04499251,"threshold_uncertainty_score":0.1505149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4040910924558662,"score_gpt":0.5281909593777224,"score_spread":0.1240998669218563,"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."}}