For the corpus used as training data in the experiments, the probability of a potential topic boundary being an actual one is approximately 2.2% for all subtopic segments, and 0.69% for top-level topic segments.
the Monte Carlo simulation algorithm predicts that a speaker turn is a segment boundary with these probabilities for the two different segmentation tasks.