The reweighting layer is in principle a much more rapid layer than the simulation layer, in that it does not need to run a new simulation to estimate the property, but rather it simply reprocesses existing decorrelated simulation data. The reweighting layer has two confidence metrics: the 'effective number of samples' and the uncertainty in the estimated properties. The effective number of samples describes the amount of information contained about the ensemble with new parameters that is contained in the original simulation.