Slot: Reason Cohort Size Is Missing (cohort_size_anchored_missing_reason)
Reason cohort_size_anchored is null.
Tier: optional
Why this slot matters
Distinguishes "the cohort size is genuinely unknown" from "the pipeline just did not record it". Without the reason, a null count is uninterpretable and downstream users cannot tell whether to chase the number or accept its absence.
In plain terms
When the head count is missing, this slot says why — for example, the tool could have counted but did not, or counting simply does not apply. An explained blank is far more useful than a silent one.
URI: envar:slot/cohort_size_anchored_missing_reason
Applicable Classes
| Name |
Description |
Modifies Slot |
| HealthLayerLinkage |
Hooks the sidecar uses to be findable from a downstream health-data layer (OM... |
no |
Properties
Type and Range
Cardinality and Requirements
Examples
| Value |
| available_but_not_extracted |
Annotations
| property |
value |
| tier |
optional |
| justification |
Distinguishes "the cohort size is genuinely unknown" from "the pipeline just did not record it". Without the reason, a null count is uninterpretable and downstream users cannot tell whether to chase the number or accept its absence. |
| explanation |
When the head count is missing, this slot says why — for example, the tool could have counted but did not, or counting simply does not apply. An explained blank is far more useful than a silent one. |
Schema Source
Mappings
| Mapping Type |
Mapped Value |
| self |
envar:cohort_size_anchored_missing_reason |
| native |
envar:cohort_size_anchored_missing_reason |
LinkML Source
name: cohort_size_anchored_missing_reason
annotations:
tier:
tag: tier
value: optional
justification:
tag: justification
value: Distinguishes "the cohort size is genuinely unknown" from "the pipeline
just did not record it". Without the reason, a null count is uninterpretable
and downstream users cannot tell whether to chase the number or accept its absence.
explanation:
tag: explanation
value: When the head count is missing, this slot says why — for example, the tool
could have counted but did not, or counting simply does not apply. An explained
blank is far more useful than a silent one.
description: Reason `cohort_size_anchored` is null.
title: Reason Cohort Size Is Missing
examples:
- value: available_but_not_extracted
description: the pipeline could count anchored persons but does not yet surface
it
from_schema: https://w3id.org/linkml/microschemas/envar
rank: 1000
domain_of:
- HealthLayerLinkage
range: MissingReasonEnum