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Boris preprint first posted online Feb. 16, 2017; DOI: http://dx.doi.org/10.1101/108977. The copyright holder for this preprint (which was not peer reviewed) is the author/funder. It is made available
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In general, any system or application that relies on similarity calculations can potentially benefit from incorporating 'opposite-of' information into their models.
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The opposite information improves similarity calculations refers to the data that contrasts with the original information used in the calculation.
Any individual or organization involved in similarity calculations may be required to file the opposite information.
To fill out the opposite information for similarity calculations, one must provide data that contradicts the original information.
The purpose of including opposite information in similarity calculations is to ensure a more accurate and comprehensive analysis.
The opposite information reported should directly counter the original information used in the similarity calculations.
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