most likely is false?
I think the idea is that the info is probably true, but has high enough likelihood of being false that you better check anyway, if it's something that matters. There's a whole topic in machine learning called "probable approximate correctness" that tries to make that notion precise. Les Valiant's book of a similar title introduced the concept and looks very good. I have it but haven't read it yet.