What happens to previously coded documents when a Review Center queue is created?

When a Review Center queue is created, previously coded documents play a pivotal role in informing the ongoing review process. Specifically, the correct answer indicates that the outside coded documents are utilized to update the model and rank scores. This integration is crucial because it ensures that the insights gained from these documents are applied to enhance the accuracy and effectiveness of the review.

Incorporating previously coded documents allows the system to refine its understanding of relevance based on the existing categorizations and coding. As a result, this helps in providing a more informed basis for ranking and prioritizing documents that are yet to be reviewed. The inclusion of this data enhances the predictive capabilities of the system, thus improving the overall review process.

Other choices suggest alternative treatments for outside coded documents that do not contribute to the model's learning. However, only the correct answer emphasizes the generative use of previously coded data to enrich ongoing analytics, thus providing a more robust framework for document review in the context of the Review Center queue.