When setting a cutoff, which of the following categories are considered "found" if you expect some of your uncoded documents to be positive?

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In the context of setting a cutoff for document review in analytics, particularly when dealing with positive and negative coding, understanding the categorization of documents is essential. When the question refers to documents being "found" based on a positive cutoff, it encompasses all documents that are flagged as likely relevant or positive for review.

The correct answer indicates that all positive-coded documents are indeed considered found, but it also emphasizes that uncoded documents that meet or exceed a specified Positive Cutoff rank must be included. This is significant because the Positive Cutoff rank helps to determine which uncoded documents are statistically likely to contain relevant information based on their similarity to already identified positive documents.

In contrast, only relying on positive-coded documents would neglect potentially valuable information contained in uncoded documents that, while not yet definitively categorized, have enough evidence or similarity to be deemed relevant. Thus, including both all positive-coded documents and uncoded documents at or above the Positive Cutoff rank ensures a comprehensive approach to document discovery and review, maximizing the chances of identifying all pertinent information for the case at hand.

By incorporating this methodology, the analytics process can provide a more thorough evaluation, thus enhancing the quality of documents selected for further review and analysis.

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