Evaluating the consistency of judgments derived through both in silico and expert application of the Cramer classification scheme.

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Bibliographic Details
Title: Evaluating the consistency of judgments derived through both in silico and expert application of the Cramer classification scheme.
Authors: Firman JW; Liverpool John Moores University, Liverpool, United Kingdom., Boobis A; Imperial College London, London, United Kingdom., Hollnagel HM; Dow Europe, Zurich, Switzerland., Kaiser S; DSM-Firmenich, Kaiseraugst, Switzerland., Lovell DP; St. George's University of London, London, United Kingdom., Moretto A; Università degli Studi di Padova, Padua, Italy., Mueller S; Givaudan International SA, Kemptthal, Switzerland., Rider CV; National Institute of Environmental Health Sciences, North Carolina, USA., Schmidt F; Givaudan International SA, Kemptthal, Switzerland., Stice S; US Food and Drug Administration, Silver Spring, MD, USA., Wijeyesakere SJ; Dow Inc., Midland, Michigan, USA., Borja G; International Life Sciences Institute Europe, Brussels, Belgium. Electronic address: publications@ilsieurope.be., Patlewicz G; Center for Computational Toxicology & Exposure (CCTE), U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA.
Source: Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association [Food Chem Toxicol] 2024 Dec; Vol. 194, pp. 115070. Date of Electronic Publication: 2024 Oct 22.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Ltd Country of Publication: England NLM ID: 8207483 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6351 (Electronic) Linking ISSN: 02786915 NLM ISO Abbreviation: Food Chem Toxicol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-6351
DOI:10.1016/j.fct.2024.115070