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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

Screen failed requests

R functions to re-screen failied title and abstract requests

screen_errors() experimental
Generic function to re-screen failed title and abstract requests.
screen_errors(<gpt>) experimental
Re-screen failed requests.
screen_errors(<chatgpt>) deprecated
Re-screen failed requests.

Analyze screening performance

R functions to analyze agreement between humans and GPT

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

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.

Rate limits

R functions to find api rate limits

rate_limits_per_minute() stable
Find updated rate limits for API models

Datasets

Datasets in the package

filges2015_dat
RIS file data from Functional Family Therapy (FFT) systematic review
model_prizes
Model prize data (last updated November 5, 2024)

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

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