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.
Ground truth on gold-v0.1
run_20260925T170825Z_440df0 · n 100 · auto_process 0.95 (recorded threshold)
questions: none (ground-truth labels)
Ground truth is a pipeline check, not a model result.
Cost: No provider call.
Automation against safety
How many cases each threshold would auto-process, and how many of those would be unsafe.
This run is flat: every threshold from 0.50 to 0.99 gives the same actions, because its probabilities are all 0, 0.5 or 1.
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 | 34/100 | 0 | 0.0% | 100/100 |
| 0.98 | 34/100 | 0 | 0.0% | 100/100 |
| 0.97 | 34/100 | 0 | 0.0% | 100/100 |
| 0.96 | 34/100 | 0 | 0.0% | 100/100 |
| 0.95 | 34/100 | 0 | 0.0% | 100/100 |
| 0.94 | 34/100 | 0 | 0.0% | 100/100 |
| 0.93 | 34/100 | 0 | 0.0% | 100/100 |
| 0.92 | 34/100 | 0 | 0.0% | 100/100 |
| 0.91 | 34/100 | 0 | 0.0% | 100/100 |
| 0.90 | 34/100 | 0 | 0.0% | 100/100 |
| 0.89 | 34/100 | 0 | 0.0% | 100/100 |
| 0.88 | 34/100 | 0 | 0.0% | 100/100 |
| 0.87 | 34/100 | 0 | 0.0% | 100/100 |
| 0.86 | 34/100 | 0 | 0.0% | 100/100 |
| 0.85 | 34/100 | 0 | 0.0% | 100/100 |
| 0.84 | 34/100 | 0 | 0.0% | 100/100 |
| 0.83 | 34/100 | 0 | 0.0% | 100/100 |
| 0.82 | 34/100 | 0 | 0.0% | 100/100 |
| 0.81 | 34/100 | 0 | 0.0% | 100/100 |
| 0.80 | 34/100 | 0 | 0.0% | 100/100 |
| 0.79 | 34/100 | 0 | 0.0% | 100/100 |
| 0.78 | 34/100 | 0 | 0.0% | 100/100 |
| 0.77 | 34/100 | 0 | 0.0% | 100/100 |
| 0.76 | 34/100 | 0 | 0.0% | 100/100 |
| 0.75 | 34/100 | 0 | 0.0% | 100/100 |
| 0.74 | 34/100 | 0 | 0.0% | 100/100 |
| 0.73 | 34/100 | 0 | 0.0% | 100/100 |
| 0.72 | 34/100 | 0 | 0.0% | 100/100 |
| 0.71 | 34/100 | 0 | 0.0% | 100/100 |
| 0.70 | 34/100 | 0 | 0.0% | 100/100 |
| 0.69 | 34/100 | 0 | 0.0% | 100/100 |
| 0.68 | 34/100 | 0 | 0.0% | 100/100 |
| 0.67 | 34/100 | 0 | 0.0% | 100/100 |
| 0.66 | 34/100 | 0 | 0.0% | 100/100 |
| 0.65 | 34/100 | 0 | 0.0% | 100/100 |
| 0.64 | 34/100 | 0 | 0.0% | 100/100 |
| 0.63 | 34/100 | 0 | 0.0% | 100/100 |
| 0.62 | 34/100 | 0 | 0.0% | 100/100 |
| 0.61 | 34/100 | 0 | 0.0% | 100/100 |
| 0.60 | 34/100 | 0 | 0.0% | 100/100 |
| 0.59 | 34/100 | 0 | 0.0% | 100/100 |
| 0.58 | 34/100 | 0 | 0.0% | 100/100 |
| 0.57 | 34/100 | 0 | 0.0% | 100/100 |
| 0.56 | 34/100 | 0 | 0.0% | 100/100 |
| 0.55 | 34/100 | 0 | 0.0% | 100/100 |
| 0.54 | 34/100 | 0 | 0.0% | 100/100 |
| 0.53 | 34/100 | 0 | 0.0% | 100/100 |
| 0.52 | 34/100 | 0 | 0.0% | 100/100 |
| 0.51 | 34/100 | 0 | 0.0% | 100/100 |
| 0.50 | 34/100 | 0 | 0.0% | 100/100 |
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 | 0 | — | — |
| 0.6–0.7 | 0 | — | — |
| 0.7–0.8 | 0 | — | — |
| 0.8–0.9 | 0 | — | — |
| 0.9–1.0 | 100 | 1.000 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 0 | — | — |
| 0.6–0.7 | 0 | — | — |
| 0.7–0.8 | 0 | — | — |
| 0.8–0.9 | 0 | — | — |
| 0.9–1.0 | 100 | 1.000 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 0 | — | — |
| 0.6–0.7 | 0 | — | — |
| 0.7–0.8 | 0 | — | — |
| 0.8–0.9 | 0 | — | — |
| 0.9–1.0 | 100 | 1.000 | 100.0% |
Bins· 5 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.5–0.6 | 0 | — | — |
| 0.6–0.7 | 0 | — | — |
| 0.7–0.8 | 0 | — | — |
| 0.8–0.9 | 0 | — | — |
| 0.9–1.0 | 100 | 1.000 | 100.0% |
Bins· 6 rows
| bin | n | mean confidence | accuracy |
|---|---|---|---|
| 0.0–0.5 | 0 | — | — |
| 0.5–0.6 | 0 | — | — |
| 0.6–0.7 | 0 | — | — |
| 0.7–0.8 | 0 | — | — |
| 0.8–0.9 | 0 | — | — |
| 0.9–1.0 | 100 | 1.000 | 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 →