id: https://nde.nl/ontology/hc/class/ConfidenceMethod
name: confidence_method_class
title: Confidence Method
prefixes:
  linkml: https://w3id.org/linkml/
  hc: https://nde.nl/ontology/hc/
  prov: http://www.w3.org/ns/prov#
  schema: http://schema.org/
imports:
  - linkml:types
  - ../slots/has_description
  - ../slots/identified_by
  - ../slots/has_type
default_prefix: hc
classes:
  ConfidenceMethod:
    description: 'A method or algorithm used to calculate confidence scores.

      **USAGE**: Documents how confidence values were computed: - Fuzzy string matching algorithms - ML model predictions
      - Rule-based validation - XPath match verification - Human assessment

      **COMMON METHODS**: | Method | Description | |--------|-------------| | fuzzy_matching | Levenshtein, Jaro-Winkler,
      etc. | | xpath_validation | XPath match confidence | | llm_classification | LLM-based entity classification | | ml_prediction
      | Machine learning model output | | human_assessment | Manual quality assessment | | ensemble | Combined multiple methods
      |'
    class_uri: prov:Plan
    exact_mappings:
    - prov:Plan
    close_mappings:
    - schema:HowTo
    slots:
    - has_type
    - has_description
    - identified_by
    slot_usage:
      has_type:
#         range: string
        required: true
        examples:
        - value: fuzzy_matching
        - value: ml_prediction
        - value: human_assessment
      has_description:
#         range: string
        required: false
        examples:
        - value: Jaro-Winkler similarity with 0.7 threshold
      identified_by:
#         range: string
        required: false
        examples:
        - value: rapidfuzz-2.15.1
    annotations:
      custodian_types: '["*"]'
      custodian_types_rationale: Confidence methods apply universally to data quality assessment.
      custodian_types_primary: '*'
      specificity_score: 0.25
      specificity_rationale: Low specificity - fundamental methodology documentation.
    examples:
    - value:
        has_type: fuzzy_matching
        has_description: Levenshtein distance with ratio normalization
        identified_by: rapidfuzz-levenshtein
    - value:
        has_type: llm_classification
        has_description: GPT-4 based entity type classification
        identified_by: gpt-4-turbo-2024-04-09
    comments:
    - Created from slot_fixes.yaml migration (2026-01-19)
    - Documents confidence calculation methodology
    - Used with ConfidenceScore class