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Emerging Technologies and Global Health: Generating Bibliometric Evidence for Innovation Management

Wu, S.; Dhaou, S. B.; Soars, D.

2022-10-04 health policy
10.1101/2022.10.02.22280618 medRxiv
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The author withdrew this manuscript owing to rewriting theory, all constructs, and correction and revision according to the peer review comments during the development and discussion phase of the research. Therefore, the author would not wish this work to be cited as a reference for the project. If you have any questions, please contact the corresponding author.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.