Measurement uncertainty represents a fundamental parameter in analytical chemistry, encapsulating the range within which the true value of a measurement is expected to lie.

Measurement uncertainty is a critical parameter that reflects the degree of confidence in the results provided by analytical and clinical laboratories.

But chemists and materials scientists still see AI as a black box. The PNNL data science team's uncertainty measurement provides a way to understand how much they should trust an AI prediction.