A system uses a fast, approximate model (generating probability distribution 'q') to propose outputs, which are then checked against a slower, more accurate model (generating probability distribution 'p'). An output is only considered for rejection if its probability from the fast model is greater than its probability from the slow model. Given the data below, determine which proposed output ('Token X' or 'Token Y') is a candidate for this rejection process, and calculate its specific rejection probability. Explain your reasoning for both tokens.