Your team runs a customer-support chatbot in Azure AI Foundry. QA has produced a curated test dataset where each row contains the user query, the model's generated answer, and a human-authored 'gold' answer written by subject-matter experts. Leadership wants an automated evaluation metric that measures how closely the model's response matches the expert-written reference answer. Which built-in AI-assisted quality metric should you configure?