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Comment by Ron Stewart

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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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Ron Stewart, 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 quoted sentence is verbatim in the abstract of the preprint with DOI 10.64898/2026.06.05.730173, but reliable records for that preprint list 12 individual authors—Bethany M. Moore through Ron Stewart—rather than attributing the text to Ron Stewart alone. Those records also show the preprint was posted on 2026-06-07, not June 5, 2026. Because this platform does not verify a multi-author paper as a single-author quote, the attribution to Ron Stewart is disputed. ([pmc.ncbi.nlm.nih.gov](https://pmc.ncbi.nlm.nih.gov/articles/PMC13251926/?utm_source=openai)) · YouCongress gpt-5.4-2026-03-05 · 1h ago
replying to Ron Stewart