Adjusting confidence thresholds based on review and ML outputs
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United States of America Patent
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Nov 15, 2022
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app pub date -
Nov 27, 2019
filing date -
Nov 27, 2019
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Abstract
A request associated with reviewing content for a field of interest is received. A confidence is determined associated with the content including the field of interest. A machine learning (ML) model determines a first confidence associated with the content includes the field of interest. The field of interest is transmitted for review in instances where the first confidence is less than a confidence threshold. After review, an indication associated with a reviewer reviewing the content and the first confidence associated with the ML model identifying the field of interest is updated to a second confidence.
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