Uncertainty estimator
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Uncertainty estimator

Purpose

Uncertainty estimator is designed to estimate the confidence or uncertainty of a model, based on the use case information provided. Its purpose is to help users understand how certain or uncertain a model output may be, without adding assumptions beyond the available model context.

Primary users

The primary user is not specified in the provided information. The agent is associated with the RES team or business unit and is owned by Elsa Tossé.

Where it fits (process/stage/trigger)

Uncertainty estimator fits after a model has produced or is associated with an output that requires confidence or uncertainty estimation. The exact process stage, operational trigger, and maturity stage are not specified.

Key capabilities / workflow

The agent analyzes the available model context, estimates confidence and uncertainty, checks whether the uncertainty result is acceptable, and routes unclear cases for review using the available information. If information is missing, the workflow loops back to review before delivering the uncertainty estimate.

Inputs

The inputs are not specified in the provided information. Please refer to documentation for the exact required model data, context, or parameters.

Outputs / Deliverables

The outputs are not specified in the provided information. Based on the stated use case, the expected deliverable is an estimate of model confidence or uncertainty.

Value

Uncertainty estimator provides value by helping users assess the reliability of model behavior or results. For real estate use cases, this can support more informed review and decision-making when model confidence or uncertainty needs to be understood.

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