You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems. After deployment, you find that 12% of extractions contain semantic errors that pass JSON schema validation (e.g., a duration like "30 minutes" incorrectly placed in an ingredient quantity field). Human reviewers have capacity to check only 20% of extractions. Which approach most effectively allocates reviewer attention?
Select one answer.
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