I had a question about the way boosting works  - is it a final boost on the
score that is returned ?
For instance, in the LinearFloatFunction (LinearFloatFunction(ValueSource
source, float slope, float intercept)),
is the ValueSource is the "core" score returned by Lucene that gets boosted. 

From,
http://lucene.apache.org/java/docs/api/org/apache/lucene/search/Similarity.html
score(q,d)   =   coord(q,d)  ·  queryNorm(q)  ·   ∑  ( tf(t in d)  · 
idf(t)2  ·  t.getBoost() ·  norm(t,d) )  
So, is ValueSource really score(q,d) and hence LinearFloatFunction does,
Final Score = score(q,d) * slope + intercept ?

Thanks.
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