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P-values were reported by Fisher's Exact Test based on a hypergeometric distribution of term utilization across a background set of articles.
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Comparing the observed frequency of each MeSH term annotated to a set of articles relative to the background rate for each term returns a measure of over-representation.
Comparing the observed frequency of each MeSH term annotated to the set of articles relative to the background rate for each term returns a measure of over-representation (see below for additional details).
A set of articles focusing on the economic aspects of nutrition was provided to give the participants some further background information.
The final set of articles underwent data extraction.
We then examined in the validation set of articles those filters that performed well in the development set of articles.
However these numbers have to be taken with care, because the background set corresponded to recent articles, while the PubMed database hosts a considerable number of older publications.
Our background set consists of 1000 sequences also from dbTSS.
We randomly sampled 60 articles from this set of 598 articles for manual annotation.
The article may be a set of the articles the system providing.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com