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This paper proposes a logit-based energy scoring method for evaluating scientific hypotheses using large language models, which outperforms prompted LLM-as-judge methods in hypothesis ranking tasks.
The Silurian Hypothesis explores the possibility of detecting an ancient industrial civilization in the geological record, raising questions about deep-time archaeology and planetary-scale signatures.