id: https://nde.nl/ontology/hc/class/DetectionThreshold
name: DetectionThreshold
title: Detection Threshold Class
prefixes:
  linkml: https://w3id.org/linkml/
  hc: https://nde.nl/ontology/hc/
  dqv: http://www.w3.org/ns/dqv#
  schema: http://schema.org/
  prov: http://www.w3.org/ns/prov#
  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#
default_prefix: hc
imports:
  - linkml:types
  - ../metadata
  - ../slots/has_description
  - ../slots/has_label
  - ../slots/has_type
classes:
  DetectionThreshold:
    class_uri: dqv:QualityMeasurement
    description: "Configuration for detection thresholds in analysis pipelines.\n\n\
      **DEFINITION**:\n\nDetectionThreshold represents the confidence threshold settings\
      \ used to filter\ndetection results. CV models output confidence scores; thresholds\
      \ determine\nwhich detections are included in results.\n\n**Threshold Levels**:\n\
      \n| Threshold | Range | Use Case |\n|-----------|-------|----------|\n| HIGH_PRECISION\
      \ | 0.9+ | Production display, high confidence |\n| BALANCED | 0.7-0.9 | General\
      \ use, balance precision/recall |\n| HIGH_RECALL | 0.5-0.7 | Research, review,\
      \ catch more |\n| RAW | < 0.5 | Unfiltered, needs post-processing |\n\n**Ontological\
      \ Alignment**:\n- **DQV**: `dqv:QualityMeasurement` - quality metric for data\
      \ assessment\n- **PROV-O**: Threshold as parameter of detection activity\n\n\
      **Migrated From** (per slot_fixes.yaml):\n- `detection_threshold` (float) now\
      \ uses:\n  - `filters_or_filtered` → DetectedEntity\n  - `has_threshold`\
      \ → DetectionThreshold (this class)\n\n**Usage Pattern**:\n```\nVideoAnnotation\n\
      \  └── filters_or_filtered → DetectedEntity\n        └── has_threshold\
      \ → DetectionThreshold\n              ├── threshold_value: 0.5\n           \
      \   └── threshold_type: MINIMUM\n```\n"
    exact_mappings:
    - dqv:QualityMeasurement
    close_mappings:
    - schema:QuantitativeValue
    related_mappings:
    - prov:SoftwareAgent
    slots:
    - has_label
    - has_description
    - has_type
    slot_usage:
      has_label:
        examples:
        - value: High Precision Threshold
        - value: Research Mode Threshold
      has_type:
        examples:
        - value: HIGH_PRECISION
        - value: BALANCED
    annotations:
      custodian_types: '["D"]'
      custodian_types_rationale: Detection thresholds apply to digital platforms with
        automated analysis
      specificity_score: 0.75
      specificity_rationale: Fairly specific to video/media analysis contexts
    comments:
    - Represents detection threshold configuration
    - Migrated from detection_threshold slot per slot_fixes.yaml
    - threshold_value is the numeric confidence cutoff
    - threshold_type indicates how threshold is applied
    examples:
    - value:
        has_label: Standard Detection
    - value:
        has_label: High Precision
        has_description: For production display requiring high confidence
    - value:
        has_label: Research Mode
        has_description: Low threshold to maximize recall for research