{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002117102,0.0002578428,0.000336469,0.0001862422,0.0006307437,0.0001091888,0.0005124611,0.0002341859,0.00095839],"category_scores_gemma":[0.0003643152,0.0002622684,0.00008639442,0.0004368979,0.0003342765,0.0001576595,0.0003998402,0.001300716,0.0000934003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002931375,"about_ca_system_score_gemma":0.0002172764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008797471,"about_ca_topic_score_gemma":0.000001386678,"domain_scores_codex":[0.9967865,0.0006799968,0.0004679052,0.0006341722,0.0006314879,0.0007999316],"domain_scores_gemma":[0.9976627,0.0008145926,0.00007003513,0.0001759794,0.0004689094,0.00080778],"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":[0.004559463,0.0009612067,0.002180323,0.0008944063,0.0009950704,0.0001058773,0.008222526,0.09311634,0.6265934,0.02055934,0.06758776,0.1742243],"study_design_scores_gemma":[0.004984021,0.0001342804,0.00007629099,0.000008065828,0.0001062203,0.000006671922,0.0002411311,0.8058897,0.01196716,0.002930764,0.1733923,0.000263444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597536,0.002794343,0.0202954,0.008992042,0.000530177,0.001828074,0.00159311,0.0001562582,0.004056982],"genre_scores_gemma":[0.9822454,0.0009621176,0.01124722,0.004106477,0.0008287629,0.000141058,0.000285018,0.0000626378,0.0001212673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7127733,"threshold_uncertainty_score":0.999983,"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."}}