Interestingly, the KP Transformation, which is a way of converting approval methods to score methods, does not work on the basis that you can simply add up a voter's score for each elected candidate to see how satisfied they are. If scores are out of e.g. 5, then each voter essentially has 5 utility slots and the top one will only be satisfied by a score of 5. So two candidates with scores of 2 and 3 being elected will mean that 40% of the voter's utility slots will be untouched. A 0 and a 5 mean that all slots will be satisfied to some extent but none more than once.
I think the KP transformation is generally good because it gives maintains good criterion compliance when added to an approval method without adding nasty surprises. And it's simple. Essentially all of the debate between Allocated Score, Method of Equal Shares, TEA etc., are about what to do with these messy scores that are hard to deal with when you use a score method rather than an approval method. KP sorts that out simply with generally better criterion compliance. So the consideration of TEA versus those other methods then becomes irrelevant.
And as I mentioned in this thread, all the subtractive quota methods are really just weak approximations of Phragmén-based methods. So I'd use Phragmén + KP as the basic starting point of a method you have to do better than. If determinism isn't essential, you can do better still.