We can therefore conclude that for models where the variance is the main source of error, the mean force error over a structure or molecule can be easily predicted by multiplication of the mean committee standard deviation by 2/ √ 2πN C . For cases where model variance is the only source of error, we have thus identified a method to correlate the error and uncertainties within a single data point, by aggregating over the errors and uncertainties of all atoms within that data point. In the following, we explore whether this method is also applicable to models featuring bias errors of different magnitudes.