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AIscreenR 0.3.2.9000

Minor improvements

  • Adding the n_screened and n_missing variables to the key results in screen_analyzer().

AIscreenR 0.3.2

CRAN release: 2026-04-20

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

CRAN release: 2026-04-13

AIscreenR 0.3.0

CRAN release: 2026-04-13

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

CRAN release: 2025-08-18

  • Adding Thomas Olsen as co-author.

New features

Minor improvements

  • Minor change in the setup of the vignette.
  • Updated prize data, including all up-to-date models.

AIscreenR 0.1.1

CRAN release: 2024-11-26

  • 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

CRAN release: 2024-11-08

  • This is the first release of AIscreenR.