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Package random forest: can corr.bias be harmful?

There exists an option corr.bias for making regression analyses with the 
R package randomForest. The manual warns ?Experimental. Use at your own 
risk.? What does corr.bias precisely do and why can it be dangerous to 
use it? As far as I know the bias correction is based on a linear 
regression between the out-of-bag-prediction and the observed values 
which is used for correction of all predictions made by the model, but 
this does not appear so harmful to me.