> ## Documentation Index
> Fetch the complete documentation index at: https://evalgate.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Review the results

> What the scores, costs, and failures actually mean.

# Review the results

After a run, the results page tells you what happened and why. This guide
explains each column and what to do with it.

## The results table

<img src="https://mintcdn.com/evalgate/c7l4ztAi8W3wgmvV/help/images/review-results-table.png?fit=max&auto=format&n=c7l4ztAi8W3wgmvV&q=85&s=bf53a7c2626905b745266dc005644864" alt="A screenshot of the results table with columns for case, status, score, cost, and latency." width="2400" height="1500" data-path="help/images/review-results-table.png" />

| Column         | What it means                                   | What to do                                                                   |
| -------------- | ----------------------------------------------- | ---------------------------------------------------------------------------- |
| **Status**     | Pass or fail for this case                      | Start with the failures                                                      |
| **Score**      | The scorer's output, normalized where supported | A low or withheld score means the scorer could not decide — inspect the case |
| **Cost**       | The model-call cost for this row, in USD        | Spikes often mean a runaway prompt or tool loop                              |
| **Latency**    | Model-call wall time                            | Compare against your latency budget                                          |
| **Provenance** | Complete or incomplete                          | Incomplete provenance cannot be used as release evidence                     |

## Drill into a row

Click any row to open the detail. You will see the exact input sent to the model,
the raw output, the tool calls, the scorer's reasoning, and the model-call
reference. If the case was promoted from a trace, the source trace is linked.

## Group failures

Use the **Group by** control to cluster failures by scorer, failure category, or
model. A cluster of the same failure usually means one root cause, not many.

## Send failures to review

Select failing rows and click **Send to review** to create review tasks for your
team. Approved review items can be promoted into golden cases that gate future
releases.

## Up next

Turn a real failure into coverage with the [Logs explorer](../traces/explore-logs).
