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Submission

This is a patch version update of AIscreenR. The package provides functions for conducting title and abstract screening in systematic reviews with AI models, such as OpenAI's GPT (Generative Pre-trained Transformer) API (Application Programming Interface) models. In this submission, we have corrected a typo in the vignette, and updated the vignette including a more modern approach to handling RIS files. Finally the tabscreen_gpt() now factors the study ID variable to keep the original order of the user's data set.

Test environments

  • local Windows 10 Enterprise, R 4.4.0 and R 4.4.2
  • ubuntu 20.04.3 LTS (on Github), R devel, release, oldrelease
  • macOS-latest (on Github), R release
  • windows-latest (on Github), R release
  • win-builder (devel, release, oldrelease)
  • mac-builder (release)

R CMD check results

There were no ERRORs and WARNINGs.

There was 1 NOTE:

These are all valid URLs important for guiding the package user.

revdepcheck results

We checked 0 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package.

  • We saw 0 new problems
  • We failed to check 0 packages