When making a recommendation a level of confidence is give to the accuracy of that recommendation.

When recommendations are deferred to the user and the level of confidence changes through time then a decision aid may wish to send a new/updated recommendation with a higher (or lower) confidence.

This (or another) section could do with some narrative as to the expected model for achieving this: i.e. does the decision aid send a new recommendation and expect the application to detect that a previous recommendation has now been superseded.

The Percentage type does not express how it is to be represented when mapped into a PSM. For example it is represented by a double in DDS. The specification should give advice on whether a percentage is expected to be mapped from 0-100 rather than 0-1 particularly as the type is often used to represent attributes which are named probability.

Recommendations should enable the supply of a rationale or rule as a descriptor to aid an operator in particular.

Many of these attributes (e.g. Algorithm Type) are not naturally Quantities
Descriptor or Quantifier would be better classifiers for the type