Changes in version 0.4.0                        

New features

  - Adding tabscreen_mistral() and get_api_key_mistral() functions to
    screen titles and abstracts using Mistral's API models.
  - Adding tabscreen_gemini() and get_api_key_gemini() function to
    screen titles and abstracts using Gemini's API models.
  - Adding tabscreen_claude() and get_api_key_anthropic() function to
    screen titles and abstracts using Anthropics's API models.

New features

  - Migrating from chat/completions endpoint to responses for all OpenAI
    functions. This includes:
      - tabscreen_gpt()
      - screen_errors.gpt()
      - rate_limits_per_minute()

                     Changes in version 0.3.2.9000                      

Minor improvements

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

                 Changes in version 0.3.2 (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.

                 Changes in version 0.3.1 (2026-04-13)                  

  - Updating documentation of tabscreen_gpt()

                 Changes in version 0.3.0 (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

                 Changes in version 0.2.0 (2025-08-18)                  

  - 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.

                 Changes in version 0.1.1 (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.

                 Changes in version 0.1.0 (2024-11-08)                  

  - This is the first release of AIscreenR.