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Before, redundant mapping filtering just checked that the tuple was the same. Now, it groups by the canonical tuple and uses a key for picking the "best" mapping. For now, this is a simple function. Later, it can be extended to take into account confidence in the curator, prediction methodology, or potentially extending the data model to keep track of the date of prediction/curation and just keep the earliest.