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Comment by Aviral Bal

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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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Aviral Bal, 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 real and appears verbatim in the abstract for the preprint with DOI 10.64898/2026.06.05.730173 in PubMed/PMC records, but that preprint has multiple listed individual authors (including Aviral Bal) and does not attribute the wording to Aviral Bal alone, so this platform cannot verify it as a single-author quote. The submitter-provided passage is only a bibliographic note and does not itself contain the quoted sentence. bioRxiv listings also show the preprint was posted on 2026-06-07, not 2026-06-05. ([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 Aviral Bal