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-v0.2-holdout
run_20260925T075242Z_fd455f · n 1000 · auto_process 0.89 (chosen on gen-v0.2-dev; recorded at 0.95)
questions: q-v0.2 →
Cost: Sum of the traces' estimated cost; not in a committed 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 | — | 643/1000 |
| 0.98 | 0/1000 | 0 | — | 643/1000 |
| 0.97 | 37/1000 | 0 | 0.0% | 680/1000 |
| 0.96 | 105/1000 | 0 | 0.0% | 748/1000 |
| 0.95 | 172/1000 | 0 | 0.0% | 815/1000 |
| 0.94 | 220/1000 | 0 | 0.0% | 863/1000 |
| 0.93 | 242/1000 | 0 | 0.0% | 885/1000 |
| 0.92 | 251/1000 | 0 | 0.0% | 894/1000 |
| 0.91 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.90 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.89 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.88 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.87 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.86 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.85 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.84 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.83 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.82 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.81 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.80 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.79 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.78 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.77 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.76 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.75 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.74 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.73 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.72 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.71 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.70 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.69 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.68 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.67 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.66 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.65 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.64 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.63 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.62 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.61 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.60 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.59 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.58 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.57 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.56 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.55 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.54 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.53 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.52 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.51 | 252/1000 | 0 | 0.0% | 895/1000 |
| 0.50 | 252/1000 | 0 | 0.0% | 895/1000 |
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 | 0.760 | 100.0% |
| 0.8–0.9 | 8 | 0.850 | 100.0% |
| 0.9–1.0 | 991 | 0.972 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 19 | 0.550 | 52.6% |
| 0.6–0.7 | 17 | 0.643 | 58.8% |
| 0.7–0.8 | 8 | 0.755 | 100.0% |
| 0.8–0.9 | 19 | 0.863 | 94.7% |
| 0.9–1.0 | 937 | 0.982 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 37 | 0.539 | 40.5% |
| 0.6–0.7 | 35 | 0.643 | 31.4% |
| 0.7–0.8 | 18 | 0.735 | 33.3% |
| 0.8–0.9 | 16 | 0.873 | 93.8% |
| 0.9–1.0 | 894 | 0.943 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 36 | 0.551 | 80.6% |
| 0.6–0.7 | 40 | 0.633 | 87.5% |
| 0.7–0.8 | 66 | 0.752 | 97.0% |
| 0.8–0.9 | 384 | 0.862 | 100.0% |
| 0.9–1.0 | 474 | 0.927 | 100.0% |
Bins· 6 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.0–0.5 | 13 | 0.482 | 61.5% |
| 0.5–0.6 | 88 | 0.552 | 38.6% |
| 0.6–0.7 | 92 | 0.649 | 42.4% |
| 0.7–0.8 | 121 | 0.743 | 63.6% |
| 0.8–0.9 | 233 | 0.853 | 91.8% |
| 0.9–1.0 | 453 | 0.963 | 99.1% |
All runs on gen-v0.2-holdout· 3 runs
| Provider | auto_process | n | Correct | 95% CI | Automation | Unsafe / auto | 95% CI | Cost / case | Total cost |
|---|---|---|---|---|---|---|---|---|---|
| Jev q-v0.2 | 0.89 | 1000 | 895/1000 (89.5%) | 87.4–91.3% | 252/1000 (25.2%) | 0/252 (0.0%) | 0.0–1.5% | $0.000112 | $0.112 |
| Claude (150-case sample) | 0.55 | 150 | 147/150 (98.0%) | 94.3–99.6% | 37/150 (24.7%) | 0/37 (0.0%) | 0.0–9.5% | $0.0164 | $2.46 |
| Rules | 0.99 | 1000 | 667/1000 (66.7%) | 63.7–69.6% | 134/1000 (13.4%) | 0/134 (0.0%) | 0.0–2.7% | $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 →