Evaluator Integrity

Demos / Evaluator Integrity

Recorded audits.

Watch the full experimental result, then inspect the scoring failure behind it.

Latest result / MASK in Inspect Evals

More false assertions.
A higher original score.

In a controlled experiment, recorded false assertions rose from 149 to 162 while the edited policy received a higher original score. Reading the same saved judge replies with a repaired rule reversed its score advantage.

2 min 42 sec16 October experiment274 exposed items
The full result, an actual true-to-false answer change, and a replay showing the score reversal after repair. The original score difference was +8.3 to +9.1 percentage points; after repair it was −5.2 to −4.4. These ranges bound missing outcomes; they are not confidence intervals.

This deliberately engineered comparison used benchmark facts, previously exposed items and reused baseline answers; both the generation model and prompt changed. The falsity comparison is conditional on the recorded paired reviews. The evidence is agent-screened; human review has not been completed. There is no fresh holdout or claim that published leaderboard scores are wrong.

Scoring audit / MASK in Inspect Evals

Right conclusion.
Wrong recorded score.

A closer look at one saved example: the judge identifies a false assertion, but the scoring software records a different answer from its final verdict.

2 min 6 secComplete saved judge replyOffline scorer replay
The complete judge reply, the recorded score, and a replay that changes only how the saved verdict is read. Narration and on-screen captions are included in both recordings.

This selected example concerns the tested implementation and judge configuration. It illustrates the scoring mechanism; the full-pool semantic comparison is covered in the separate recording above. Semantic review remains agent-screened.

Illustrative — invented data

From a false pass
to a checked repair.

A separate fictional case shows the shape of an assessment report. A returns-policy evaluator accepts answers that contradict each other: follow the assessment, repair and recheck.

Assessment report

Lumen Practice Suite

Juniper Mock Judge

Return-policy assessment

Review complete

Contradictory answers both receive a pass.

Configuration
Juniper Mock Judge · policy-consistency setting
Task
Check a support answer against the supplied return policy.
Review sample
50 pairs of answers to questions the policy settles.
Finding
In 14 pairs, both answers passed despite contradicting each other. At least one answer in each pair must be wrong.
Recommendation
Repair the decision rule, then verify on new answers.