---
title: TREXResultPostSelectionMetadataModel (latest version)
description: API reference for ibm_quantum_schemas.noise_learner_v3.version_0_2.TREXResultPostSelectionMetadataModel in the latest version of qiskit-ibm-runtime
source: https://quantum.cloud.ibm.com/docs/en/api/qiskit-ibm-runtime/ibm-quantum-schemas-noise-learner-v3-version-0-2-trex-result-post-selection-metadata-model
---

# TREXResultPostSelectionMetadataModel

*pydantic model* `TREXResultPostSelectionMetadataModel`

[GitHub](https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10.20260723/ibm_quantum_schemas/noise_learner_v3/version_0_2/models.py#L87-L94)

Bases: `BaseModel`

The post selection metadata of a single TREX result of a noise learner v3 job.

### fraction\_kept

*field*

Type: `float`

The fraction of shots kept.

**Constraints**

- **ge** = 0
- **le** = 1

### success\_rates

*field*

Type: `dict`\[`int`, `confloat`(`ge``=``0`, `le``=``1`)]

The fraction of shots in which post selection successfully flipped each qubit.