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Kanoodle and IndustryBrains let advertisers decide which broad categories their ads should run in, such as education or fashion sites, and lets the keyword relevance be damned.
To facilitate viewing large result lists, the user can sort the list by PDB ID, deposition/release date or keyword relevance score.
The keyword relevance score is calculated as the number of matching terms divided by the logarithm of the number of unique words in the keywords list of an entry (see the PostgreSQL manual).
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They look for keywords, relevance, etc.
Citation counts are used as an indication of the keyword's relevance in comorbid depression with AUD.
The file-metadata consists of the file ID, keywords, and the relevance scores (refer to equation 2) of keywords in response to the file.
In addition to ethanol, the top keywords ranked by relevance to depression and AUD are "consumption", "background", and "intake".
Out of all articles obtained after setting the keywords, we preformed relevance sampling of the articles in which the subject of psychiatric disorder represented the relevant content.
No clear-cut connection can be made between the absolute sum of keyword values and the relevance of candidate genes.
For each keyword, a so called relevance index was calculated by dividing the number of PubMed abstracts containing both the keyword and the selected reference term with the number of PubMed abstracts containing the keyword alone.
To build a metadata for each document F i in the dataset F, we should extract the keywords and compute the associated relevance score, then encrypt the keywords and scores.
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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