CoSiNE achieves this by comparing two likelihoods:
How likely is a mutation under the learned maturation model?
How likely is it under neutral SHM?
The difference gives a selection score: enrichment beyond mutation bias. This improves VEP over transition likelihood alone. (4/8)
