glam/schemas/20251121/linkml/modules/slots/archive/confidence_archived_20260128.yaml
kempersc c1946e93f9 Refactor VideoPost and WebObservation schemas; remove deprecated slots and migrate to new structures
- Updated VideoPost.yaml to include new slots and remove deprecated ones, enhancing video-specific properties.
- Removed extraction_confidence from WebObservation.yaml, streamlining the schema.
- Deleted obsolete slot files: characteristics.yaml, class_definition.yaml, confidence.yaml, confidence_method.yaml, confidence_score.yaml, confidence_value.yaml, count.yaml, and hosts_branch.yaml.
- Introduced ghost_slots.txt to track unused slots.
- Archived previous versions of characteristics, class_definition, confidence, confidence_method, confidence_score, confidence_value, count, and hosts_branch slots for historical reference.
- Added new slots: has_or_had_citation, has_or_had_city_code, and is_or_was_location_of with appropriate descriptions and mappings.
2026-01-28 15:04:11 +01:00

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1.5 KiB
YAML

id: https://nde.nl/ontology/hc/slot/confidence
name: confidence_slot
prefixes:
linkml: https://w3id.org/linkml/
hc: https://nde.nl/ontology/hc/
sosa: http://www.w3.org/ns/sosa/
prov: http://www.w3.org/ns/prov#
schema: http://schema.org/
dcterms: http://purl.org/dc/terms/
crm: http://www.cidoc-crm.org/cidoc-crm/
skos: http://www.w3.org/2004/02/skos/core#
rdfs: http://www.w3.org/2000/01/rdf-schema#
org: http://www.w3.org/ns/org#
xsd: http://www.w3.org/2001/XMLSchema#
imports:
- linkml:types
default_range: string
slots:
confidence:
slot_uri: sosa:hasSimpleResult
description: 'Confidence score for AI-generated content.
Range: 0.0 (no confidence) to 1.0 (complete certainty)
**Applies to**:
- ASR-generated transcript/subtitle segments
- CV-detected scene or object annotations
- OCR-extracted text from video frames
**Thresholds** (suggested):
- > 0.9: High confidence, suitable for display
- 0.7-0.9: Medium, may need review
- < 0.7: Low, flag for human verification
**Ontology mapping**: Uses sosa:hasSimpleResult because AI/ML models act as sensors producing observation results. The confidence score is the simple (scalar) result of a classification/detection observation.
'
range: float
minimum_value: 0.0
maximum_value: 1.0
close_mappings:
- prov:value
related_mappings:
- schema:ratingValue
annotations:
custodian_types:
- '*'
custodian_types_rationale: Universal utility concept