Term suggester score calculation

How is the score calculated in the term suggester?


I assume it is a combination of term frequency and string distance. However I am seeing some surprising results:

Searching for "chreme" in my index with a term suggester (default settings) suggests "chrome" (score 0.833, frequency 48) and "creme" (score 0.8, frequency 2050). I believe both of these suggestions have an edit distance of 1, so how does the low frequency suggestion get a higher score?

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