Sentence examples for duplicate review from inspiring English sources

The phrase "duplicate review" is correct and usable in written English.
You can use it when referring to the process of reviewing something again to be sure that it is accurate and correct. For example; "We performed a duplicate review of the accounts to ensure that there were no errors."

Exact(3)

Last year, gene therapists' main professional society issued a public appeal to end RAC's duplicate review.

A duplicate review of interview recordings ensured accurate information.

A well-defined rationale for any such duplicate review, as required by the PRISMA checklist (though not explicitly) [ 94], provides transparency regarding overlaps and subsequently, allows for informed debate about its value to the evidence base [ 95].

Similar(57)

Two reviewers individually and in duplicate reviewed the abstracts of 256 articles and selected 18 observational studies for inclusion.

Two reviewers independently and in duplicate reviewed the titles and abstracts of retrieved publications and subsequently the full text of relevant articles.

Reviewers working independently and in duplicate reviewed studies and extracted data.

Two reviewers (SDN, SA) independently and in duplicate reviewed the abstracts of 256 articles, and determined their eligibility for inclusion based on prespecified inclusion criteria as identified above.

The codebook was developed one domain at a time using a modified duplicate reviewing process that involved a set of primary reviewers extracting and documenting the information, and a second group of reviewers "auditing" (i.e., checking) primary reviews in small-group discussions; a third group of reviewers resolved disagreements.

However, the authors recognized that simply finding duplicate reviews is a trivial task and they wanted to test if a model trained using duplicate reviews would generalize to find review spam in general.

They started by finding the near duplicate reviews, which they defined as reviews with a Jaccard similarity score of over 90%% of their 2-g.

A possibility for a less labor-intensive means of generating labeled training data is to find and label duplicate reviews as spam.

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