Now that we have all the predictions, we can combine them into a single score. To do this, multiple passes are needed to save computational power and to apply rules, such as content type diversity (i.e., content type should be varied so that viewers don't see redundant content types, such as multiple videos, one after another), that depend on an initial ranking score. First, certain integrity processes are applied to every post. These are designed to determine which integrity detection measures, if any, need to be applied to the stories selected for ranking. Then, in pass 0, a lightweight model is run to select approximately 500 of the most relevant posts for Juan that are eligible for ranking.