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The covariances are the current process uncertainty. Its not recursive (well, recursively updated, but the numbers you get out are relative to the current state).

"good" is automatically biased by requirements, you're better off either deriving some covariances from requirements probablistically or easier just take some data for what you define as "good" situations and get familiar with it.