Like all theoretical models, they are good enough to start with, but if you need accuracy then you need to measure it yourself. If you are unsure about relative reliability of various computational methods, it's common to start with the most popular (so even when it's wrong it can be compared to everyone else who used the same software), and then get some experimental data to refine your estimate. Just remember, all models are wrong, but some are useful.