Could you explain that second paragraph? Why do you want to buy a domain that's not only penalized, but whose links are entirely coming from a site you already own? I think I'm misunderstanding the situation.

If you can direct message me which campaign you're talking about, I can take a look.

I'm afraid the answer is "it's complicated" - here's the longer version, from Dr. Matt Peters, our head of Data Science:

"PA and DA are the output from a machine learning model that we then rescale to values between 1-100.  The raw output from the model is dimensionless and doesn't have any interesting meaning.  The rescaling is linear, but the inputs to the model are rescaled logarithmically before being used in the model.  We use the natural log (base e) but the base is pretty arbitrary since one can transform from one base to another by changing coefficients, and the coefficients themselves are set in a regression.  The key point is that since the inputs have a log applied to them it is much harder to increase DA from say 70 to 80 then it is from 30 to 40."

Unfortunately, there's no great way to have it both ways. If you want these pages to get indexed for the links, then they're potential duplicates. If Google filters them out, the links probably won't count. Worst case, it could cause Panda-scale problems. Honestly, I suspect the link value is minimal and outweighed by the risk, but it depends quite a bit on the scope of what you're doing and the general link profile of the site.

Potentially, but I'm honestly not sure how Scrid's pages are indexed. Don't you need to log in or something to actually see the content on Scribd?