Confidence describes how reliable a match, inferred value, spatial result, or automated suggestion appears to be. Confidence should help humans decide what to trust, review, or correct.

• Place matching and duplicate detection.
• Address, coordinate, or region enrichment.
• Asset classification and metadata extraction.
• AI-generated summaries or documentation suggestions.

Confidence should not hide uncertainty. Low-confidence results should be easy to review, and high-confidence results should still be traceable to their source or rule.