AIscreenR 0.3.1

• Updating documentation of tabscreen_gpt()

AIscreenR 0.3.0

• 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().
• 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.
• Making new refinements to the tabscreen_* functions. Making it possible to steer the model’s (over)inclusion behavior via the overinclusive argument in tabscreen_* functions.
• Updated prize data, including all up-to-date models

AIscreenR 0.2.0

• Minor change in the setup of the vignette
• Updated prize data, including all up-to-date models
• Adding create_fine_tune_data() and write_fine_tune_data() to generate data for fine tuning OpenAI’s models
• Adding Thomas Olsen as co-author

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.