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Currently submitted to: JMIR Formative Research

Date Submitted: May 1, 2026
Open Peer Review Period: May 6, 2026 - Jul 1, 2026
(currently open for review)
Peer Review Me

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Chain-of-Thought Prompting to Mitigate Central Tendency Bias in Generative AI Rubric-Based Assessment of Physical Therapy Case Reports: Preliminary Study

  • Hisaya Sudo; 
  • Kazuki Tahara; 
  • Yoko Noborimoto; 
  • Jun Takahashi

ABSTRACT

This preliminary study reports that Chain-of-Thought prompting may mitigate central tendency bias in generative AI rubric-based assessment and modestly improve agreement with human ratings of physical therapy case reports, though these findings vary across large language models.


 Citation

Please cite as:

Sudo H, Tahara K, Noborimoto Y, Takahashi J

Chain-of-Thought Prompting to Mitigate Central Tendency Bias in Generative AI Rubric-Based Assessment of Physical Therapy Case Reports: Preliminary Study

JMIR Preprints. 01/05/2026:100033

DOI: 10.2196/preprints.100033

URL: https://preprints.jmir.org/preprint/100033

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