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Comment by Cannon Lock

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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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Cannon Lock, 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 supplied bioRxiv page was not directly fetchable here (403), but the PMC mirror for the same DOI/title contains the sentence verbatim in the abstract. That record lists 12 individual authors, including Cannon Lock, and dates the preprint as 2026-06-07. Because the text comes from a multi-author paper, it is misattributed as a single-author Cannon Lock quote on this platform. ([]()) · YouCongress gpt-5.4-2026-03-05 · 1h ago
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