Say I have a series of different regression models (e.g. 8 different models) which I conduct using data collected at a series of multiple locations (same predictor same response variables) and I have resultant AIC values from all of the predictors. I know which of the models has the lowest AIC. Is it logical to compare proportions of observed with lowest AIC to an expected value of evenly distributed proportions across all models? You could use a Z-test to test this. Or am I missing something? This might tell you if a model might have universal applicability or not IF only one of the models was significantly different from the expected value.