Synthetic rubric judge calibration

Compared with human labels on 80 items.

Not fit to gate releases
A judge may grade release-gating cases only if it agrees with humans well beyond chance, rarely passes what a human failed, and is not lenient on some kinds of case while harsh on others.
  • kappa lower bound 0.5652 < 0.6
  • false-pass rate 0.1852 > 0.1 (judge passes outputs humans fail)
  • bias changes sign across groups: lenient on short-answer, harsh on multi-step, refusal
Cohen's kappa
0.75
95% CI 0.57 to 0.89, substantial
Raw agreement
88.8%
same verdict as the human
False-pass rate
18.5%
judge passed what a human failed
Bias
+0.01
lenient; the average hides a split by group

Confusion matrix

80 labelled items

Judge pass
Judge fail
Human pass
49agree: pass
4false fail
Human fail
5false pass: lets bad output through
22agree: fail
Shade shows the share of itemsOutlined: the costly error for a release gate

Bias by group

Judge pass share minus human pass share

◀ harshlenient ▶
multi-step
-0.10
refusal
-0.05
short-answer
+0.17
harsh: fails what humans passlenient: passes what humans fail
Bias changes sign. Lenient on short-answer, harsh on multi-step, refusal. One threshold cannot fix both.

Groups

How the judge does on each kind of case.

GroupItemsAgreementKappaBiasFalse-pass
multi-step3090.0%0.80-0.100.0%
refusal2095.0%0.83-0.050.0%
short-answer3083.3%0.60+0.1745.5%

Disagreements

Every item where the judge and the human differed, false passes first.

ItemGroupHumanJudgeError
short-answer-01short-answerfailpassfalse pass
short-answer-10short-answerfailpassfalse pass
short-answer-11short-answerfailpassfalse pass
short-answer-24short-answerfailpassfalse pass
short-answer-25short-answerfailpassfalse pass
multi-step-10multi-steppassfailfalse fail
multi-step-12multi-steppassfailfalse fail
multi-step-20multi-steppassfailfalse fail
refusal-18refusalpassfailfalse fail

Settings

The rules this judge was held to.

Judge
Synthetic rubric judge
Labelled items
80
Minimum items
30
Minimum kappa (lower bound)
0.6
Maximum false-pass rate
0.1