In the present study we try to provide a better framework for employing active space selection predictively. We proceed with the working assumption that no single active-spaceselection scheme will be successful in all cases. Therefore, we hypothesize that the important missing component of the current schemes is the lack of a way to choose between active spaces generated with different methods. We envision a framework for CAS-based methods that involves (i) generating active orbitals with different methods (e.g., any of those mentioned or cited above) or with different parameters, (ii) solving the CI problem within the active spaces defined by these orbitals, and then (iii) choosing between the generated active-space wave functions by some means of facile evaluation. This is similar to what was done in our previous study, except that in that work the selection of CAS wave functions involved knowing the accurate excitation energies, but here the selection will use only information available from the CASCI solutions themselves.