In a multi-pass review architecture, how can you effectively automate the routing of identified findings for…

Question

In a multi-pass review architecture, how can you effectively automate the routing of identified findings for human review calibration?

Accepted Answer

A. Run verification passes where the model outputs field-level confidence scores alongside findings to enable calibrated review routing.

Answer

B. Rely strictly on the model's self-reported conversational confidence score in the output.

Answer

C. Escalate any finding that flags more than 5 lines of code.

Answer

D. Use the Message Batches API to delay findings until the end-of-week manual review.

Question 285