---
title: LinbdbladResultPostSelectionMetadataModel (dev version)
description: API reference for ibm_quantum_schemas.noise_learner_v3.version_0_1.LinbdbladResultPostSelectionMetadataModel in the dev version of qiskit-ibm-runtime
source: https://quantum.cloud.ibm.com/docs/en/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-noise-learner-v3-version-0-1-linbdblad-result-post-selection-metadata-model
---

# LinbdbladResultPostSelectionMetadataModel

*pydantic model* `LinbdbladResultPostSelectionMetadataModel`

[GitHub](https://github.com/Qiskit/ibm-quantum-schemas/tree/0.11.20260824/ibm_quantum_schemas/noise_learner_v3/version_0_1/models.py#L90-L94)

Bases: `BaseModel`

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

### fraction\_kept

*field*

Type: `dict`\[`int`, `Annotated`\[`float`, `None`, `Interval`(`gt``=``None`, `ge``=``0`, `lt``=``None`, `le``=``1`), `None`, `None`]]

The fraction of shots kept for each layer pair depth.