AINeutralarXiv – CS AI · 9h ago6/10
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Ontology-constrained multi-LLM scoring of hypothesis support in the predictive processing literature
Researchers developed a multi-LLM pipeline that uses ontology-constrained scoring to synthesize fragmented predictive coding neuroscience literature into quantifiable evidence spaces. The system scored 31 studies across ten language models using a 36-concept glossary, revealing structured disagreement patterns between experimental contexts and introducing 'hypothesis-space temperature' as a novel metric for measuring research dispersion.