{"id":"W2107755135","doi":"10.1002/jps.24571","title":"The Role of Extracellular Binding Proteins in the Cellular Uptake of Drugs: Impact on Quantitative In Vitro -to- In Vivo Extrapolations of Toxicity and Efficacy in Physiologically Based Pharmacokinetic-Pharmacodynamic Research","year":2015,"lang":"en","type":"review","venue":"Journal of Pharmaceutical Sciences","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physiologically based pharmacokinetic modelling; In vivo; Pharmacology; Pharmacokinetics; Chemistry; Mechanism (biology); Extracellular; In vitro; Free fraction; Mechanism of action; Drug; Intracellular; Toxicity; In vitro toxicology; Plasma protein binding; Biophysics; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.01406799,0.0002692318,0.001400534,0.001277251,0.00006949672,0.00002016231,0.0007231389,0.0001335705,0.00003178028],"category_scores_gemma":[0.0004007814,0.0001259694,0.0002989532,0.002971682,0.0008246123,0.0000968569,0.00004212399,0.001439931,5.362816e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001941826,"about_ca_system_score_gemma":0.000826174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004148212,"about_ca_topic_score_gemma":0.00002319774,"domain_scores_codex":[0.9946685,0.00134099,0.001724276,0.0002994292,0.001459922,0.0005068904],"domain_scores_gemma":[0.9968122,0.001982132,0.00064889,0.0001534175,0.0002105853,0.0001928227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002385087,0.002864759,0.0002784926,0.001970996,0.00006421091,0.000132189,0.001563194,0.0008486151,0.8323042,0.0004745674,0.000003742933,0.1571099],"study_design_scores_gemma":[0.02907394,0.0155871,0.008943631,0.09269393,0.001855525,0.00008914376,0.01795022,0.05988079,0.6967376,0.003121015,0.07226338,0.001803761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6236376,0.3744862,0.00001792489,0.0001870708,0.00004753342,0.001457193,0.00003183071,0.000001378944,0.0001332803],"genre_scores_gemma":[0.7813604,0.2180743,0.0004874843,0.00001077452,0.00002753328,0.00002275122,0.000001750764,0.00001026101,0.000004784577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1577228,"threshold_uncertainty_score":0.6255864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571563996101397,"score_gpt":0.4854508153788504,"score_spread":0.3282944157687108,"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."}}