It is not necessary to normalize it to 1.0. The limit points must be constants, not variable names. If your data are in J groups, there will always be exactly J-1 interior limit values, which must be given in increasing order. If the match is not found, the estimator aborts. In this case, there are five values of the dependent variable, so four limit values are given.
Output is likewise the same.
Since the dependent variable is not observed, there is no obvious conditional mean function. As such, there are no marginal effects for this model. Let Li and Ui denote the lower and upper limits of the range indicated by the observed yi. Ui is A1, the first limit value given. Rst operate the same.