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AIscreenR 0.3.2
AIscreenR 0.3.1.9008
Minor improvements
- Updating the default inclusion threshold and documentation hereof
when conducting replicate screenings to be aligned with the finding from
Vembye et al. (2025).
- Updating the handling of coding missing abstracts in the vignette
now when using
read_ris_to_dataframe().
- Better error messages for unknown GPT models when using newer or
fine-tuned models.
Bug fixes
- Fixed bug in
report() when rendering large amounts of
text.
- Fixed bug in
tabscreen_gpt() when using multiple reps
and gpt-5 models.
- Fixed bug in
screen_analyzer() when working with
multiple prompts, models, and reps.
- Correcting path in generating-disagreement-reports article.
- Set max_tries in
rate_limits_per_minute() to avoid
message from httr2.
Further documentation
- Add installation guide to ollama article.
- Include an example of fine-tuning a model and using it to
fine-tuning article.
AIscreenR 0.3.1
- Updating documentation of
tabscreen_gpt()
AIscreenR 0.3.0
New features
- Adding
tabscreen_groq() function to screen titles and
abstracts using Groq AI.
- Adding
tabscreen_ollama() function to screen titles and
abstracts using local ollama models.
- Adding functions to read and write RIS files:
read_ris_to_dataframe() and
save_dataframe_to_ris().
- Adding function to generate disagreement reports:
generate_disagreement_report().
- Making new refinements to the tabscreen_* functions. Making it
possible to steer the model’s (over)inclusion behavior via the
overinclusive = TRUE argument in tabscreen_*
functions.
Further documentation
- Adding articles for fine-tuning OpenAI models, generating
disagreement reports, generating fine-tuning data and reading/writing
RIS files.
- Adding article for comparing performance of reasoning models
(including gpt-5 models) with gpt-4o-mini.
Minor improvements
- Updated prize data, including all up-to-date models
AIscreenR 0.2.0
- Adding Thomas Olsen as co-author.
New features
- Adding
create_fine_tune_data() and
write_fine_tune_data() to generate data for fine tuning
OpenAI’s models.
Minor improvements
- Minor change in the setup of the vignette.
- Updated prize data, including all up-to-date models.
AIscreenR 0.1.1
- A typo in the vignette has been corrected.
- The vignette now draws on functions from synthesisr instead of
revtools to handle RIS files.
tabscreen_gpt() now treats the study ID variable as a
factor to keep original order of the dataset with titles and
abstracts.
AIscreenR 0.1.0
- This is the first release of AIscreenR.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.