How to transform and interpret log link gamma

Modeling
1

Please forgive the very basic maths question! I have a gamma model with log link. I’m not sure what to do with the results.

For example, another model is a categorical model with logic link, so I exp(model) to get log odds, which I can easily interpret and understand. I’m not sure what to do with my gamma and log outcome though? Would I do 1/model?

The model looks something like:

modeltest <- brm(
  formula = score ~ 1 + group,
  data = df,
family = Gamma(link = "log"),  seed = 64,chains = 5, control = list(adapt_delta = 0.99),
  iter = 10000,
  cores = 5
)

Thanks very much!