It looks like the model is bad at predicting the quality of lists. It also looks like some articles have a bunch of content and references that come in via transclusion. This seems to be common for articles about TV series that use tables extensively. We may be able to ask the Wikipedia API for a parsed version of the page so that we can circumvent issues with tranclusions that bring substantial content and references.
This task is done when an exploration of these issues is completed and documented in the comments of this task and new tasks are filed for next steps.