First, I cannot figure out how to get the correct symbols on here so these are what I used - ^=AND ~=appoximately -=NOT
If someone can help me out with that I would appreciate it.

I am reading a book and am on the section of Bayes' Law. There is some notation I don't understand. The line is this -

P(Cavity|toothache ^ catch) = (normalize-symbol)<0.108, 0.016> ~ (0.871, 0.129)

What do the <> mean? I'll write out the joint distribution (by listing them) in case it helps -

P(cavity ^ catch ^ toothache) = 0.108
P(-cavity ^ catch ^ toothache) = 0.016
P(cavity ^ -catch ^ toothache) = 0.012
P(-cavity ^ -catch ^ toothache) = 0.064
P(cavity ^ catch ^ -toothache) = 0.072
P(cavity ^ -catch ^ -toothache) = 0.008
P(-cavity ^ catch ^ -toothache) = 0.144
P(-cavity ^ -catch ^ -toothache) = 0.576

Thanks for any help and/or insight.