For common acquisition functions (UCB, expected improvement etc.) we require access to both the expectation and variance of the quantity of interest. This motivates considering the MPO scoring function as a non-deterministic aggregation of scoring components that themselves are random variables. By using the predicted label as a proxy for the oracle scoring function, we generate a distribution of MPO scores by Monte-Carlo sampling (Methods).