Slot: Reason Aggregate Uncertainty Is Missing (model_aggregate_uncertainty_missing_reason)

Reason model_aggregate_uncertainty is null.

Tier: optional

Why this slot matters

Separates "the producer published no cross-validation metrics" from a forgotten entry. Without the reason, a missing model-accuracy summary looks like a data-entry lapse, and reviewers cannot tell whether the information was ever available.

In plain terms

When the model-accuracy summary is missing, this says why — usually because the people who made the dataset never reported those scores. It makes the absence deliberate and explainable rather than a mystery blank.

URI: envar:slot/model_aggregate_uncertainty_missing_reason

Applicable Classes

Name	Description	Modifies Slot
Uncertainty	Uncertainty and quality character of a value series: per-value uncertainty ty...	no

Properties

Type and Range

Property	Value
Range	MissingReasonEnum
Domain Of	Uncertainty

Cardinality and Requirements

Property	Value

Examples

Value
not_provided_by_source

Identifier and Mapping Information

Annotations

property	value
tier	optional
justification	Separates "the producer published no cross-validation metrics" from a forgotten entry. Without the reason, a missing model-accuracy summary looks like a data-entry lapse, and reviewers cannot tell whether the information was ever available.
explanation	When the model-accuracy summary is missing, this says why — usually because the people who made the dataset never reported those scores. It makes the absence deliberate and explainable rather than a mystery blank.

Schema Source

• from schema: https://w3id.org/linkml/microschemas/envar

Mappings

Mapping Type	Mapped Value
self	envar:model_aggregate_uncertainty_missing_reason
native	envar:model_aggregate_uncertainty_missing_reason

LinkML Source

name: model_aggregate_uncertainty_missing_reason
annotations:
  tier:
    tag: tier
    value: optional
  justification:
    tag: justification
    value: Separates "the producer published no cross-validation metrics" from a forgotten
      entry. Without the reason, a missing model-accuracy summary looks like a data-entry
      lapse, and reviewers cannot tell whether the information was ever available.
  explanation:
    tag: explanation
    value: When the model-accuracy summary is missing, this says why — usually because
      the people who made the dataset never reported those scores. It makes the absence
      deliberate and explainable rather than a mystery blank.
description: Reason `model_aggregate_uncertainty` is null.
title: Reason Aggregate Uncertainty Is Missing
examples:
- value: not_provided_by_source
  description: The producer reports no whole-model cross-validation metrics.
from_schema: https://w3id.org/linkml/microschemas/envar
rank: 1000
domain_of:
- Uncertainty
range: MissingReasonEnum