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.