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.
Claude on gold-v0.1
run_20260926T011730Z_f1852f · n 100 · auto_process 0.55 (chosen on gen-v0.2-dev; recorded at 0.95)
questions: q-v0.2 + claude-prompt-v1 →
Claude's probabilities are self-reported; gold labels were written by Claude agents.
Cost: Claude 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 | — | 65/100 |
| 0.98 | 0/100 | 0 | — | 65/100 |
| 0.97 | 0/100 | 0 | — | 65/100 |
| 0.96 | 0/100 | 0 | — | 65/100 |
| 0.95 | 0/100 | 0 | — | 65/100 |
| 0.94 | 0/100 | 0 | — | 65/100 |
| 0.93 | 0/100 | 0 | — | 65/100 |
| 0.92 | 0/100 | 0 | — | 65/100 |
| 0.91 | 0/100 | 0 | — | 65/100 |
| 0.90 | 0/100 | 0 | — | 65/100 |
| 0.89 | 0/100 | 0 | — | 65/100 |
| 0.88 | 0/100 | 0 | — | 65/100 |
| 0.87 | 0/100 | 0 | — | 65/100 |
| 0.86 | 0/100 | 0 | — | 65/100 |
| 0.85 | 0/100 | 0 | — | 65/100 |
| 0.84 | 0/100 | 0 | — | 65/100 |
| 0.83 | 0/100 | 0 | — | 65/100 |
| 0.82 | 0/100 | 0 | — | 65/100 |
| 0.81 | 0/100 | 0 | — | 65/100 |
| 0.80 | 0/100 | 0 | — | 65/100 |
| 0.79 | 2/100 | 0 | 0.0% | 67/100 |
| 0.78 | 2/100 | 0 | 0.0% | 67/100 |
| 0.77 | 2/100 | 0 | 0.0% | 67/100 |
| 0.76 | 2/100 | 0 | 0.0% | 67/100 |
| 0.75 | 4/100 | 0 | 0.0% | 69/100 |
| 0.74 | 7/100 | 0 | 0.0% | 72/100 |
| 0.73 | 10/100 | 0 | 0.0% | 75/100 |
| 0.72 | 12/100 | 0 | 0.0% | 77/100 |
| 0.71 | 13/100 | 0 | 0.0% | 78/100 |
| 0.70 | 16/100 | 0 | 0.0% | 81/100 |
| 0.69 | 17/100 | 0 | 0.0% | 82/100 |
| 0.68 | 17/100 | 0 | 0.0% | 82/100 |
| 0.67 | 20/100 | 0 | 0.0% | 85/100 |
| 0.66 | 23/100 | 0 | 0.0% | 88/100 |
| 0.65 | 25/100 | 0 | 0.0% | 90/100 |
| 0.64 | 25/100 | 0 | 0.0% | 90/100 |
| 0.63 | 26/100 | 0 | 0.0% | 91/100 |
| 0.62 | 28/100 | 0 | 0.0% | 93/100 |
| 0.61 | 28/100 | 0 | 0.0% | 93/100 |
| 0.60 | 28/100 | 0 | 0.0% | 93/100 |
| 0.59 | 28/100 | 0 | 0.0% | 93/100 |
| 0.58 | 28/100 | 0 | 0.0% | 93/100 |
| 0.57 | 28/100 | 0 | 0.0% | 93/100 |
| 0.56 | 29/100 | 0 | 0.0% | 94/100 |
| 0.55 | 30/100 | 1 | 3.3% | 93/100 |
| 0.54 | 31/100 | 1 | 3.2% | 94/100 |
| 0.53 | 31/100 | 1 | 3.2% | 94/100 |
| 0.52 | 31/100 | 1 | 3.2% | 94/100 |
| 0.51 | 31/100 | 1 | 3.2% | 94/100 |
| 0.50 | 31/100 | 1 | 3.2% | 94/100 |
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 | 0.500 | 0.0% |
| 0.6–0.7 | 1 | 0.600 | 0.0% |
| 0.7–0.8 | 0 | — | — |
| 0.8–0.9 | 0 | — | — |
| 0.9–1.0 | 98 | 0.961 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 4 | 0.562 | 50.0% |
| 0.6–0.7 | 29 | 0.661 | 93.1% |
| 0.7–0.8 | 25 | 0.736 | 96.0% |
| 0.8–0.9 | 3 | 0.835 | 100.0% |
| 0.9–1.0 | 39 | 1.000 | 97.4% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 1 | 0.500 | 0.0% |
| 0.6–0.7 | 2 | 0.600 | 0.0% |
| 0.7–0.8 | 5 | 0.750 | 40.0% |
| 0.8–0.9 | 4 | 0.865 | 50.0% |
| 0.9–1.0 | 88 | 0.944 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 1 | 0.500 | 0.0% |
| 0.6–0.7 | 0 | — | — |
| 0.7–0.8 | 3 | 0.717 | 100.0% |
| 0.8–0.9 | 3 | 0.850 | 100.0% |
| 0.9–1.0 | 93 | 0.962 | 100.0% |
Bins· 6 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.0–0.5 | 1 | 0.450 | 0.0% |
| 0.5–0.6 | 1 | 0.510 | 100.0% |
| 0.6–0.7 | 8 | 0.636 | 62.5% |
| 0.7–0.8 | 15 | 0.754 | 100.0% |
| 0.8–0.9 | 38 | 0.861 | 100.0% |
| 0.9–1.0 | 37 | 0.912 | 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 →