An integrated chemical and ecological framework for deriving freshwater contaminant protection thresholds using machine learning.
An interpretable, transferable machine-learning framework integrating chemical descriptors and ecological traits to derive assemblage-specific thresholds that provides a transparent approach for deriving region-specific protection thresholds under limited toxicity data while explicitly propagating uncertainty.