Mixed linear models with random intercept

Sorry my Spanish is so rusty.

The odds ratio in a logistic regression is expressed as

$$odds-ratio = \frac{(Odds(Y=1|X=1)}{(Odds(Y = 1| X = 0)}$$

where Y is the binary dependent variable and X is the independent variable. An odds ratio of 2 means that the odds of Y=1 are twice those if X=1 than if X=0.

To convert to a probability with a fitted model

pred <- predict(your_model)
prob <- 1/(1 + exp(-pred))

For your other questions, a reproducible example, called a reprex would be very helpful.