The filtered model was obtained by identifying all templates in the standard model that were used in ring formations (the sub-set used to train 'Ring Breaker'). All templates that were not in the 'Ring Breaker' set of templates were set to zero in the output vector. The output vector was then sorted by the probability associated with the remaining templates. This vector was then used as the predictions for the filtered model. The predictions were then applied sequentially as previously described.