In recent years, excessive usage of a certain tool, has led to the development of various tools designed to identify such content, X
An often nightmare for students but the living dream for teachers, these Xs have evolved to be one of the most visited websites by official school accounts.
Statistics show that especially on the day of any assignment submissions across top colleges, the usage of Xs skyrocket, and that just before (in India), June, the usage of another sub tool of Xs also skyrocket, often to assist in the tasks of the holidays.
This subtool of X acts conversely to the functioning of X itself, ie, it analyses what could qualify as potential material for X and removes any such material and provides an output.
Perplexity measures how predictable the material is; lower values suggest high predictability typical of machine output.
Burstiness evaluates variation in sentence length and structure, natural material shows more fluctuation.
Log-probability sums the likelihood of certain phrases appearing in the material, with more negative values hinting at patterns Xs would catch. Entropy captures randomness in word choice; low entropy may indicate artificial material.
Oh, and for the feel of it, this question has also passed through X and has returned with a 23% tag on it (don't ask why)
X? Which helps foster robust mechanisms to ensure a rich tapestry of academic growth without any comprehensive external support?