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Testing the reliability of an AI-based large language model to extract ecological information from the scientific literature

Environmental Studies and Forestry

Testing the reliability of an AI-based large language model to extract ecological information from the scientific literature

A. V. Gougherty and H. L. Clipp

This groundbreaking research by Andrew V. Gougherty and Hannah L. Clipp reveals how a large language model (LLM) can extract ecological data from scientific literature over 50 times faster than human reviewers, while achieving remarkable accuracy. Discover its potential for creating extensive ecological databases, but also the essential need for quality assurance to ensure data integrity!

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