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Can I read GPTZero Performance in Identifying Artificial Intelligence-Generated Medical Texts: A Preliminary Study on EtoBox?
GPTZero Performance in Identifying Artificial Intelligence-Generated Medical Texts: A Preliminary Study by Farrokh Habibzadeh is a Medicine article available to read on EtoBox.
What is GPTZero Performance in Identifying Artificial Intelligence-Generated Medical Texts: A Preliminary Study about?
## Background With emergence of chatbots to help authors with scientific writings, editors should have tools to identify artificial intelligence-generated texts. GPTZero is among the first websites that has sought media attention claiming to differentiate machine-generated from human-written texts. ## Methods Using 20 text pieces generated by ChatGPT in response to arbitrary questions on various topics in medicine and 30 pieces chosen from previously published medical articles, the performance of GPTZero was assessed. ## Results GPTZero had a sensitivity of 0.65 (95% confidence interval, 0.41–0.85); specificity, 0.90 (0.73–0.98); accuracy, 0.80 (0.66–0.90); and positive and negative likelihood ratios, 6.5 (2.1–19.9) and 0.4 (0.2–0.7), respectively. ## Conclusion GPTZero has a low false-positive (classifying a human-written text as machine-generated) and a high false-negative rate (classifying a machine-generated text as human-written).
Who reads GPTZero Performance in Identifying Artificial Intelligence-Generated Medical Texts: A Preliminary Study?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Farrokh Habibzadeh
- Publisher
- XMLink
- Published
- 2023
- Field
- Medicine (Health Sciences)