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Screen with GPT API models

R functions to automate title and abstract screeening with GPT API models

tabscreen_gpt.tools() tabscreen_gpt() stable
Title and abstract screening with GPT API models using function calls via the tools argument
tabscreen_gpt.original() deprecated
Title and abstract screening with GPT API models using function calls via the original function call arguments
tabscreen_groq()
Title and abstract screening with GROQ API models using function calls via the tools argument
tabscreen_ollama()
Title and abstract screening with OLLAMA API models using function calls via the tools argument

Screen failed requests

R functions to re-screen failied title and abstract requests

screen_errors()
Generic function to re-screen failed title and abstract requests.
screen_errors.gpt() superseded
Re-screen failed requests.
screen_errors.chatgpt() superseded
Re-screen failed requests.

Analyze screening performance

R functions to analyze agreement between humans and GPT

screen_analyzer() stable
Analyze performance between the human and AI screening.

Fine tuning

R functions generate data that can be used for fine tuning of models

create_fine_tune_data()
Function to generate dataset to be used for fine-tuning models
save_fine_tune_data()
Function to write/save fine tune dataset in required jsonl format

API management

R functions to ease and automate API management

set_api_key()
Creating a temporary R environment API key variable
get_api_key()
Get API key from R environment variable.
get_api_key_groq()
Get GROQ API key from R environment variable.

Rate limits

R functions to find api rate limits

rate_limits_per_minute() stable
Find updated rate limits for API models

Reports

Generate disagreement / screening reports for screening disagreements between human and AI decisions

report() stable
Generate a report for screening disagreements between human and AI decisions

Datasets

Datasets in the package

filges2015_dat
RIS file data from Functional Family Therapy (FFT) systematic review
model_prizes
Model prize data (last updated March 18, 2026)
disagreements
Disagreement sample data
groq_model_prizes
Groq model prices (last updated March 18, 2026)

Coercion

is_chatgpt() deprecated
Test if the object is a 'chatgpt' object
is_chatgpt_tbl() deprecated
Test if the object is a 'chatgpt_tbl' object
is_gpt()
Test if the object is a 'gpt' object
is_gpt_tbl()
Test if the object is a 'gpt_tbl' object
is_gpt_agg_tbl()
Test if the object is a 'gpt_agg_tbl' object
print(<gpt>)
Print methods for 'gpt' objects
print(<chatgpt>)
Print methods for 'chatgpt' objects
print(<gpt_price>)
Print methods for 'gpt_price' objects
print(<groq>)
Print method for 'groq' objects

Pricing

approximate_price_gpt() experimental
Approximate price estimation for title and abstract screening using OpenAI's GPT API models

Sample references

Sample references to construct test dataset

sample_references()
Random sample references

Reading / Writing RIS

Functions to read and write RIS files

read_ris_to_dataframe()
Read an RIS file into a data frame
save_dataframe_to_ris()
Write a data frame to a RIS file