code-review-phase-2-verify-recall-biased

Code review verification with a recall bias evaluates candidate code changes and retains CONFIRMED and PLAUSIBLE findings while dropping REFUTED ones. This approach maximizes issue detection coverage by keeping all plausible findings during automated reviews.

Recall-biased verification in automated code reviews is a filtering mechanism that keeps plausible findings to avoid missing potential issues. It classifies candidates as CONFIRMED, PLAUSIBLE, or REFUTED, dropping only the refuted results to maximize recall.

To filter code change candidates and keep plausible findings, run a recall-biased verification phase that processes the batch and removes only refuted findings. This retains both confirmed and plausible results for downstream review.

Use a recall-biased model for code review verification when thorough issue detection is crucial in automated reviews. It is ideal when you prefer to retain all plausible findings rather than risk missing potential code defects.

During recall-biased code review verification, CONFIRMED and PLAUSIBLE findings are kept, while REFUTED findings are dropped. This ensures only clearly invalid candidate code changes are removed from the review pipeline.