---
title: LinbdbladResultPostSelectionMetadataModel (latest version)
description: API reference for ibm_quantum_schemas.noise_learner_v3.version_0_2.LinbdbladResultPostSelectionMetadataModel 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-linbdblad-result-post-selection-metadata-model
---

# LinbdbladResultPostSelectionMetadataModel

*pydantic model* `LinbdbladResultPostSelectionMetadataModel`

[GitHub](https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10.20260723/ibm_quantum_schemas/noise_learner_v3/version_0_2/models.py#L107-L115)

Bases: `BaseModel`

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

### fraction\_kept

*field*

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

The fraction of shots kept for each layer pair depth.

### success\_rates

*field*

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

The fraction of shots in which post selection successfully flipped each qubit, for each layer pair depth.