In the network attached, the uncertainty for HealthState(Disease=yes,Therapy=no) is modeled by a logNormal with mu=ln(3)=1.09861228867 and sigma=1. Therefore, the value shown in the cell should be exp(mu) = 3, but it is 4.946164.
You are right. I made a mistake when reading the Wikipedia. My apologies.
Then my proposal is that, in addition to having a function logNormal, we implement a new function logNormal-mv, where "mv" stands for "parametrized with the mean and the variance". This is similar to the difference between the functions Gamma and Gamma-mv that we already have.
Anyhow, I think we should rethink the idea of having different parametrizations for second-order probabilities.