{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Katie Friedman", "hasEmail": "mailto:paul-friedman.katie@epa.gov"}, "description": "The data used are from curation of legacy studies and stored in ToxRefDB. \n\nThis dataset is associated with the following publication:\nPham, L.L., S. Watford, P. Pradeep, M. Martin, R. Thomas, R. Judson, W. Setzer, and K. Paul-Friedman. Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 15(August 2020): 100126, (2020).", "distribution": [{"accessURL": "https://gaftp.epa.gov/comptox/CCTE_Publication_Data/BCTD_Publication_Data/Paul-Friedman/Variability_in_vivo_data/", "title": "https://gaftp.epa.gov/comptox/CCTE_Publication_Data/BCTD_Publication_Data/Paul-Friedman/Variability_in_vivo_data/"}], "identifier": "https://doi.org/10.23719/1518556", "keyword": ["in vivo data", "variance", "ToxRefDB", "Uncertainty", "predictive models"], "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html", "modified": "2020-01-13", "programCode": ["020:095"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1016/j.comtox.2020.100126"], "rights": null, "title": "Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels (ORD-034452)"}