Forward compatible ml_smoothing

[Samuel-Buteau]

When updating the dataset, more information will be added.

It would be very convenient if we made sure that when a dictionary is missing from the dataset, then ml_smoothing still does the right thing. We already have mechanisms in DegradationModel to handle missing values.

In this way, even if the dataset is not 100% up to date, the code runs fine.