RotgarSett/chatgpt-clinic-caveats-fact-check

When ChatGPT Adds Caveats to Clinic Recommendations

This version 1.0 companion dataset fact-checks clinic-specific commercial and operational caveat families identified in a frozen corpus of 450 repeated ChatGPT answers from the parent study.

• —Author: Evgeniy Yudin, Founder and Strategy Lead
• —ORCID: https://orcid.org/0009-0007-8400-9561
• —Publisher: Rotgar Research
• —Published: 2026-09-03
• —Version DOI: https://doi.org/10.5281/zenodo.22304469
• —Zenodo record: https://zenodo.org/records/22304469
• —Canonical study: https://rotgar.com/medical/resources/chatgpt-clinic-caveats-fact-check
• —Parent dataset: https://doi.org/10.5281/zenodo.22162725
• —License: CC BY 4.0

Scope

The release contains 43 identified and deduplicated caveat families and 18 purposively selected same-answer contrasts. Of the 43 families, 22 were fully supported by current or correctly dated primary sources, 16 were partly supported or overstated, 2 were stale as current claims, 2 were not supported by the checked primary sources, and 1 was unverifiable.

All immutable release files are stored under package-v1.0/. Validate them with package-v1.0/SHA256SUMS.txt.

Interpretation boundary

The rows are claim families, not independent measures of clinic quality. The contrasts are not a prevalence estimate. A not supported verdict means only that the checked primary evidence did not support the bounded statement. This work does not rank providers, assess clinical quality or treatment appropriateness, or reveal a complete internal source path.

Methodology review

Methodology reviewer — Boris Teplyakov, SEO Lead. Methodology review only; not clinical review, peer review, legal review, a formal external audit, or an assessment of providers named in the answers.

Citation

Yudin, Evgeniy. “When ChatGPT Adds Caveats to Clinic Recommendations.” Version 1.0. Rotgar Research, September 3, 2026. https://doi.org/10.5281/zenodo.22304469.