The resulting increase in precision was much smaller, of about 2%, showing that most of the potential benefit is exploited in the first bootstrapping iteration (which is not uncommon for natural language data).
computing the bootstrapping weight twice increases computation time significantly, which led us to suggest a single bootstrapping iteration as a reasonable cost-effectiveness tradeoff for our data.