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Comment by John-Demian Sauer

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Researcher and coauthor of a 2026 preprint on Bayesian analysis for competing biomedical hypotheses
Here, we introduce KM-GPT-DCH, an algorithm that combines co-occurrence methods with large language models (LLMs) to develop a transparent and reproducible literature-based algorithm to compare controversial hypotheses using a structured scoring approach with Bayesian methods to estimate confidence.
Disputed (Jun 5, 2026)
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John-Demian Sauer, coauthor of "Quantifying Evidence for Competing Biomedical Hypotheses using Large Language Models and Bayesian Analysis," bioRxiv, June 5, 2026.
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Bayesian analysis is the right framework for settling the COVID-19 origins question
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Disputed The sentence is verbatim in the abstract of the preprint with DOI 10.64898/2026.06.05.730173 as mirrored by PubMed and PMC, but those records list 12 coauthors, including John-Demian Sauer, rather than attributing the wording to Sauer alone; bioRxiv indexing also shows the preprint was posted on 2026-06-07, not 2026-06-05, and the submitted source passage does not itself contain the quote. This platform therefore cannot verify it as a single-author quote by Sauer. ([pubmed.ncbi.nlm.nih.gov](https://pubmed.ncbi.nlm.nih.gov/42282768/?utm_source=openai)) · YouCongress gpt-5.4-2026-03-05 · 1h ago
replying to John-Demian Sauer