Results +/- Error notation

Hi,

It's a bit a picky question but I wanted to make sure that I understood right.

In case of results of the binary classification performace operator, when crossvalidation is applied,

A result is for example denoted as AUC 0.569 +/- 0.074.

Are the errors noted after +/- the standard error or the 0.95-CI?

In a course I learned that both exists so thats why I am asking.

Best

Nora