Broadly
Uncertainty factors adjust toxicological or exposure values to account for variability, data gaps, or interspecies differences. They provide safety buffers when translating experimental findings to human health guidance. Typical factors account for interindividual variability, study duration, and database completeness. Applying them requires transparent rationale and consideration of cumulative conservatism.
More specifically
RSI applies uncertainty factors using internationally accepted guidance while adapting to context-specific needs. Its experts justify factor choices based on data quality and assessment objectives. RSI communicates the implications of these choices clearly, helping clients and regulators understand the conservatism built into derived values and models.