Evaluation
Every committed run, at its operating point
Rates carry exact 95% Clopper-Pearson intervals.
How this is measured
Runs on gold and smoke are re-scored from their traces; runs on generated sets come from their committed report bundles.
Jev q-v0.3 on gold-v0.1
run_20260927T072623Z_ad6f44 · n 100 · auto_process 0.81 (chosen on gen-v0.3-dev; recorded at 0.95)
questions: q-v0.3 →
Gold is not a blind test for q-v0.3: the question set was motivated by GOLD-TMP-17.
Cost: Jev spend ledger.
Automation against safety
How many cases each threshold would auto-process, and how many of those would be unsafe.
How this is measured
Each column is one auto_process threshold, re-decided over the stored judgments: its height is the cases that threshold would auto-process, and its red top is the unsafe automations among them. Thresholds are picked on dev sets with a 1% unsafe ceiling: the threshold that automates the most while unsafe automations stay at or below 1% of those automated, ties going to the stricter threshold. The ceiling is a rule for choosing on dev, so it is not drawn here.
Every threshold· 50 rows
| auto_process | automated | unsafe | unsafe / auto | correct |
|---|---|---|---|---|
| 0.99 | 0/100 | 0 | — | 64/100 |
| 0.98 | 0/100 | 0 | — | 64/100 |
| 0.97 | 0/100 | 0 | — | 64/100 |
| 0.96 | 0/100 | 0 | — | 64/100 |
| 0.95 | 1/100 | 0 | 0.0% | 65/100 |
| 0.94 | 6/100 | 0 | 0.0% | 70/100 |
| 0.93 | 16/100 | 0 | 0.0% | 80/100 |
| 0.92 | 19/100 | 0 | 0.0% | 83/100 |
| 0.91 | 22/100 | 0 | 0.0% | 86/100 |
| 0.90 | 23/100 | 0 | 0.0% | 87/100 |
| 0.89 | 24/100 | 0 | 0.0% | 88/100 |
| 0.88 | 25/100 | 0 | 0.0% | 89/100 |
| 0.87 | 25/100 | 0 | 0.0% | 89/100 |
| 0.86 | 28/100 | 0 | 0.0% | 92/100 |
| 0.85 | 28/100 | 0 | 0.0% | 92/100 |
| 0.84 | 29/100 | 0 | 0.0% | 93/100 |
| 0.83 | 31/100 | 1 | 3.2% | 94/100 |
| 0.82 | 31/100 | 1 | 3.2% | 94/100 |
| 0.81 | 31/100 | 1 | 3.2% | 94/100 |
| 0.80 | 31/100 | 1 | 3.2% | 94/100 |
| 0.79 | 31/100 | 1 | 3.2% | 94/100 |
| 0.78 | 31/100 | 1 | 3.2% | 94/100 |
| 0.77 | 31/100 | 1 | 3.2% | 94/100 |
| 0.76 | 31/100 | 1 | 3.2% | 94/100 |
| 0.75 | 31/100 | 1 | 3.2% | 94/100 |
| 0.74 | 31/100 | 1 | 3.2% | 94/100 |
| 0.73 | 31/100 | 1 | 3.2% | 94/100 |
| 0.72 | 31/100 | 1 | 3.2% | 94/100 |
| 0.71 | 31/100 | 1 | 3.2% | 94/100 |
| 0.70 | 31/100 | 1 | 3.2% | 94/100 |
| 0.69 | 31/100 | 1 | 3.2% | 94/100 |
| 0.68 | 31/100 | 1 | 3.2% | 94/100 |
| 0.67 | 31/100 | 1 | 3.2% | 94/100 |
| 0.66 | 31/100 | 1 | 3.2% | 94/100 |
| 0.65 | 32/100 | 1 | 3.1% | 95/100 |
| 0.64 | 32/100 | 1 | 3.1% | 95/100 |
| 0.63 | 32/100 | 1 | 3.1% | 95/100 |
| 0.62 | 32/100 | 1 | 3.1% | 95/100 |
| 0.61 | 32/100 | 1 | 3.1% | 95/100 |
| 0.60 | 32/100 | 1 | 3.1% | 95/100 |
| 0.59 | 32/100 | 1 | 3.1% | 95/100 |
| 0.58 | 32/100 | 1 | 3.1% | 95/100 |
| 0.57 | 32/100 | 1 | 3.1% | 95/100 |
| 0.56 | 32/100 | 1 | 3.1% | 95/100 |
| 0.55 | 32/100 | 1 | 3.1% | 95/100 |
| 0.54 | 32/100 | 1 | 3.1% | 95/100 |
| 0.53 | 32/100 | 1 | 3.1% | 95/100 |
| 0.52 | 32/100 | 1 | 3.1% | 95/100 |
| 0.51 | 32/100 | 1 | 3.1% | 95/100 |
| 0.50 | 32/100 | 1 | 3.1% | 95/100 |
Request info and human review· 2 rates
Calibration· 5 charts
Accuracy against stated confidence for each judgment. Points below the diagonal are over-confident; hollow points hold fewer than 20 cases.
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 1 | 0.560 | 0.0% |
| 0.6–0.7 | 1 | 0.680 | 0.0% |
| 0.7–0.8 | 2 | 0.780 | 100.0% |
| 0.8–0.9 | 2 | 0.875 | 100.0% |
| 0.9–1.0 | 94 | 0.970 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 1 | 0.535 | 0.0% |
| 0.6–0.7 | 7 | 0.663 | 42.9% |
| 0.7–0.8 | 5 | 0.733 | 80.0% |
| 0.8–0.9 | 9 | 0.866 | 77.8% |
| 0.9–1.0 | 78 | 0.961 | 97.4% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 5 | 0.546 | 60.0% |
| 0.6–0.7 | 1 | 0.650 | 100.0% |
| 0.7–0.8 | 3 | 0.743 | 33.3% |
| 0.8–0.9 | 8 | 0.850 | 87.5% |
| 0.9–1.0 | 83 | 0.944 | 96.4% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 2 | 0.505 | 0.0% |
| 0.6–0.7 | 3 | 0.653 | 66.7% |
| 0.7–0.8 | 4 | 0.762 | 50.0% |
| 0.8–0.9 | 31 | 0.865 | 96.8% |
| 0.9–1.0 | 60 | 0.931 | 100.0% |
Bins· 6 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.0–0.5 | 1 | 0.490 | 0.0% |
| 0.5–0.6 | 7 | 0.539 | 14.3% |
| 0.6–0.7 | 5 | 0.660 | 80.0% |
| 0.7–0.8 | 9 | 0.746 | 100.0% |
| 0.8–0.9 | 16 | 0.844 | 87.5% |
| 0.9–1.0 | 62 | 0.964 | 100.0% |
All runs on gold-v0.1· 5 runs
| Provider | auto_process | n | Correct | 95% CI | Automation | Unsafe / auto | 95% CI | Cost / case | Total cost |
|---|---|---|---|---|---|---|---|---|---|
| Jev q-v0.2 | 0.89 | 100 | 91/100 (91.0%) | 83.6–95.8% | 29/100 (29.0%) | 1/29 (3.4%) | 0.1–17.8% | $0.000115 | $0.0115 |
| Jev q-v0.3 | 0.81 | 100 | 94/100 (94.0%) | 87.4–97.8% | 31/100 (31.0%) | 1/31 (3.2%) | 0.1–16.7% | $0.000175 | $0.0175 |
| Claude | 0.55 | 100 | 93/100 (93.0%) | 86.1–97.1% | 30/100 (30.0%) | 1/30 (3.3%) | 0.1–17.2% | $0.0156 | $1.56 |
| Rules | 0.99 | 100 | 61/100 (61.0%) | 50.7–70.6% | 20/100 (20.0%) | 6/20 (30.0%) | 11.9–54.3% | $0 | $0 |
| Ground truth | 0.95 | 100 | 100/100 (100.0%) | 96.4–100.0% | 34/100 (34.0%) | 0/34 (0.0%) | 0.0–10.3% | $0 | $0 |
Cost is from the spend ledgers, or the traces’ own estimates for runs in no ledger. Rules and ground truth make no provider call; “—” marks a run that reused another run’s stored answers. Cost and speed →