A GPT-4o-based screening workflow with contextual prompting and control-fitted weighting can rank known climate spin-out abstracts highly, though validation is limited to a small sample.
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Towards unearthing neglected climate innovations from scientific literature using Large Language Models
A GPT-4o-based screening workflow with contextual prompting and control-fitted weighting can rank known climate spin-out abstracts highly, though validation is limited to a small sample.