No cause for angst. I got a response from Lee. The problem is simple. His model is parametric and needs some data to calibrate it. He changed the experiments that he calibrated the model with. But these experiments design was far from optimal, so now he has a calibration that runs through the middle of the historical DPF work, while our results are above the best historical ones, so way above the average ones.
