# AI Screening Tools in R for Systematic Reviewing

## Documentation for package ‘AIscreenR’ version 0.4.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

approximate_price_gpt | Approximate price estimation for title and abstract screening using OpenAI's GPT API models
claude_model_prizes | Claude model prices (last updated May 13, 2026) Data set containing input and output prizes for all Claude's API models.
create_fine_tune_data | Function to generate dataset to be used for fine-tuning models
disagreements | Disagreement sample data
filges2015_dat | RIS file data from Functional Family Therapy (FFT) systematic review
gemini_model_prizes | Gemini model prices (last updated May 7, 2026) Data set containing input and output prizes for all Gemini's API models.
get_api_key | Get API key from R environment variable.
get_api_key_anthropic | Get Anthropic API key from R environment variable.
get_api_key_gemini | Get Gemini API key from R environment variable.
get_api_key_groq | Get GROQ API key from R environment variable.
get_api_key_mistral | Get Mistral API key from R environment variable.
groq_model_prizes | Groq model prices (last updated March 18, 2026)
is_chatgpt | Test if the object is a "chatgpt" object
is_chatgpt_tbl | Test if the object is a "chatgpt_tbl" object
is_gpt | Test if the object is a "gpt" object
is_gpt_agg_tbl | Test if the object is a "gpt_agg_tbl" object
is_gpt_tbl | Test if the object is a "gpt_tbl" object
mistral_model_prizes | Mistral model prices (last updated May 7, 2026) Data set containing input and output prizes for all Mistral's API models.
model_prizes | Model prize data (last updated March 18, 2026)
print.chatgpt | Print methods for "chatgpt" objects
print.gpt | Print methods for "gpt" objects
print.gpt_price | Print methods for "gpt_price" objects
print.groq | Print method for 'groq' objects
rate_limits_per_minute | Find updated rate limits for API models
read_ris_to_dataframe | Read an RIS file into a data frame
report | Generate a report for screening disagreements between human and AI decisions
sample_references | Random sample references
save_dataframe_to_ris | Write a data frame to a RIS file
save_fine_tune_data | Function to write/save fine tune dataset in required jsonl format
screen_analyzer | Analyze performance between the human and AI screening.
screen_errors | Generic function to re-screen failed title and abstract requests.
screen_errors.chatgpt | Re-screen failed requests.
screen_errors.gpt | Re-screen failed requests.
set_api_key | Creating a temporary R environment API key variable
tabscreen_claude | Title and abstract screening with Anthropic's API models
tabscreen_gemini | Title and abstract screening with Gemini API models using function calls
tabscreen_gpt | Title and abstract screening with GPT API models using function calls via the tools argument and the responses endpoint
tabscreen_gpt.original | Title and abstract screening with GPT API models using function calls via the original function call arguments
tabscreen_gpt.tools | Title and abstract screening with GPT API models using function calls via the tools argument
tabscreen_gpt.tools_responses | Title and abstract screening with GPT API models using function calls via the tools argument and the responses endpoint
tabscreen_groq | Title and abstract screening with GROQ API models using function calls via the tools argument
tabscreen_mistral | Title and abstract screening with mistral's API models
tabscreen_ollama | Title and abstract screening with OLLAMA API models using function calls via the tools argument