model_prizes

Data set containing input and output prizes for all OpenAI's GPT API models.

datasets

Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://platform.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2024) <DOI:10.31219/osf.io/yrhzm>.

Mikkel H. Vembye

AIscreenR

AI Screening Tools in R for Systematic Reviewing

model_prizes function

A <code>data.frame</code> containing 15 rows/models and 3 variables/columns
<table class="table">
<tr><td>model</td><td><code>character</code></td><td>indicating the specific GPT model</td></tr>
<tr><td>price_in_per_token</td><td><code>character</code></td><td>indicating the input prize per token</td></tr>
<tr><td>price_out_per_token</td><td><code>character</code></td><td>indicating the output prize per token</td></tr>
</table>

Format

Model prize data (last updated November 5, 2024) — model_prizes

A <code>data.frame</code> containing 15 rows/models and 3 variables/columns
<table class='table'>
<tr><td>model</td><td><code>character</code></td><td>indicating the specific GPT model</td></tr>
<tr><td>price_in_per_token</td><td><code>character</code></td><td>indicating the input prize per token</td></tr>
<tr><td>price_out_per_token</td><td><code>character</code></td><td>indicating the output prize per token</td></tr>
</table>

model	`character`	indicating the specific GPT model
price_in_per_token	`character`	indicating the input prize per token
price_out_per_token	`character`	indicating the output prize per token

model_prizes: Model prize data (last updated November 5, 2024)

Description

Usage

Arguments

Format

References