Reports

Model accuracy and agreement across 1 reviewed datasheet in this view

30 days90 daysAll time

Accuracy and value

1 reviewed submission by accuracy

Accuracy of each reviewed submission
Part number	Run	Accuracy	Band
A33204LLEATR	GPT-5.4 (baseline)	89%	80 to 94%

Agreement vs average cost per run

Default (Terra · High)Other models

Average agreement and cost per model and effort
Model and effort	Agreement	Avg cost per run	Scored runs	Runs with cost
Terra · Medium	84%	$0.033	1	1
Terra · High (default)	84%	$0.034	1	1
Sol · Medium	95%	$0.068	1	1
GPT-5.4 · Medium	89%	$0.059	1	1

Agreement of each re-run with the reviewed baseline

Agreement of each model and effort with the reviewed baseline, per datasheet
Datasheet	TerraMedium	TerraHigh(default)	SolMedium	GPT-5.4Medium	GPT-5.4No effort

Accuracy: For a fully reviewed submission, confirmed decisions ÷ all decisions (package + measurements + pins). A model's accuracy is the mean over its reviewed submissions.
Agreement: For a re-run, matching rows ÷ compared rows against the baseline's reviewed values. Numbers must match exactly and names must match after normalisation; a partial is not a match. Model averages count only runs whose baseline is fully reviewed.
Score colours: 95% and above green, 80 to 94% amber, below 80% red.
Latency: Time of the model call only (providerMeta.latencyMs), excluding upload and PDF fetch. The median is shown.
Cost: Estimated at run time from list prices × tokens. The actual invoice may differ.
Correction rate: Corrected ÷ decided for that field across fully reviewed submissions.
Legacy runs: Runs without usage metadata are excluded from latency and cost, and each column shows its n.
Legacy corrections: Older corrections that did not record a status are read by their value: a correction to “Not found in datasheet” counts as not found, and a corrected value on a field the AI marked “Not found” now counts as a found value. This changed agreement scores for some legacy reviews.