We show that PanBART, like other deep-learning methods, is sensitive to "out-of-distribution" data. But this isn't necessarily a bad thing! We can leverage this sensitivity by using a measure of model confidence, "pseudolikelihoods" to identify new emergent lineages! (5/8)
