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-v0.2 on gen-v0.3-holdout
run_20260927T072249Z_204814 · n 1000 · auto_process 0.97 (chosen on gen-v0.3-dev; recorded at 0.95)
questions: q-v0.2 →
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 | 0/1000 | 0 | — | 679/1000 |
| 0.98 | 0/1000 | 0 | — | 679/1000 |
| 0.97 | 17/1000 | 1 | 5.9% | 694/1000 |
| 0.96 | 69/1000 | 5 | 7.2% | 738/1000 |
| 0.95 | 134/1000 | 8 | 6.0% | 797/1000 |
| 0.94 | 189/1000 | 12 | 6.3% | 844/1000 |
| 0.93 | 236/1000 | 18 | 7.6% | 879/1000 |
| 0.92 | 262/1000 | 25 | 9.5% | 891/1000 |
| 0.91 | 269/1000 | 28 | 10.4% | 892/1000 |
| 0.90 | 271/1000 | 29 | 10.7% | 892/1000 |
| 0.89 | 272/1000 | 29 | 10.7% | 893/1000 |
| 0.88 | 274/1000 | 29 | 10.6% | 895/1000 |
| 0.87 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.86 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.85 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.84 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.83 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.82 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.81 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.80 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.79 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.78 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.77 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.76 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.75 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.74 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.73 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.72 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.71 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.70 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.69 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.68 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.67 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.66 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.65 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.64 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.63 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.62 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.61 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.60 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.59 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.58 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.57 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.56 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.55 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.54 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.53 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.52 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.51 | 275/1000 | 30 | 10.9% | 894/1000 |
| 0.50 | 275/1000 | 30 | 10.9% | 894/1000 |
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 | 0 | — | — |
| 0.6–0.7 | 0 | — | — |
| 0.7–0.8 | 1 | 0.770 | 100.0% |
| 0.8–0.9 | 9 | 0.844 | 100.0% |
| 0.9–1.0 | 990 | 0.972 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 11 | 0.543 | 54.5% |
| 0.6–0.7 | 18 | 0.660 | 66.7% |
| 0.7–0.8 | 8 | 0.768 | 87.5% |
| 0.8–0.9 | 22 | 0.870 | 95.5% |
| 0.9–1.0 | 941 | 0.976 | 95.7% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 43 | 0.536 | 39.5% |
| 0.6–0.7 | 40 | 0.638 | 47.5% |
| 0.7–0.8 | 22 | 0.730 | 27.3% |
| 0.8–0.9 | 13 | 0.861 | 84.6% |
| 0.9–1.0 | 882 | 0.943 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 37 | 0.548 | 70.3% |
| 0.6–0.7 | 44 | 0.646 | 81.8% |
| 0.7–0.8 | 56 | 0.746 | 98.2% |
| 0.8–0.9 | 476 | 0.866 | 99.8% |
| 0.9–1.0 | 387 | 0.925 | 100.0% |
Bins· 6 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.0–0.5 | 15 | 0.468 | 53.3% |
| 0.5–0.6 | 83 | 0.551 | 45.8% |
| 0.6–0.7 | 92 | 0.644 | 42.4% |
| 0.7–0.8 | 130 | 0.747 | 70.8% |
| 0.8–0.9 | 238 | 0.853 | 94.1% |
| 0.9–1.0 | 442 | 0.965 | 99.5% |
All runs on gen-v0.3-holdout· 2 runs
| Provider | auto_process | n | Correct | 95% CI | Automation | Unsafe / auto | 95% CI | Cost / case | Total cost |
|---|---|---|---|---|---|---|---|---|---|
| Jev q-v0.3 | 0.81 | 1000 | 921/1000 (92.1%) | 90.3–93.7% | 244/1000 (24.4%) | 0/244 (0.0%) | 0.0–1.5% | $0.000172 | $0.172 |
| Jev q-v0.2 | 0.97 | 1000 | 694/1000 (69.4%) | 66.4–72.2% | 17/1000 (1.7%) | 1/17 (5.9%) | 0.1–28.7% | $0.000113 | $0.113 |
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 →