4. The method of claim 3 , wherein: applying the first generative model to the observation includes applying the first generative model to one or more observable variables of the observation to identify, as the first assessment, a first proper subset of clusters of the first set of clusters; applying the second generative model to the observation includes applying the second generative model to the one or more observable variables of the observation to identify, as the second assessment, a second proper subset of clusters of the second set of clusters; and determining the similarity score between the first and second assessments includes determining a similarity between the first proper subset and the second proper subset.
4. The method of claim 3 , wherein: applying the first generative model to the observation includes applying the first generative model to one or more observable variables of the observation to identify, as the first assessment, a first proper subset of clusters of the first set of clusters; applying the second generative model to the observation includes applying the second generative model to the one or more observable variables of the observation to identify, as the second assessment, a second proper subset of clusters of the second set of clusters; and determining the similarity score between the first and second assessments includes determining a similarity between the first proper subset and the second proper subset. 6. The method of claim 4 , wherein determining a similarity between the first proper subset and the second proper subset includes: mapping the first proper subset of clusters to a first smooth distribution; mapping the second proper subset of clusters to a second smooth distribution; and determining the similarity based on the first smooth distribution and the second smooth distribution.