id: https://nde.nl/ontology/hc/class/ConfidenceMethod
name: ConfidenceMethod
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/
default_prefix: hc
imports:
  - linkml:types
  - ../slots/has_description
  - ../slots/identified_by
  - ../slots/has_type
classes:
  ConfidenceMethod:
    class_uri: hc:ConfidenceMethod
    description: >-
      Documented procedure or algorithm used to derive certainty estimates from
      source evidence.
    alt_descriptions:
      nl: Gedocumenteerde procedure of algoritme waarmee zekerheidsinschattingen uit bronbewijs worden afgeleid.
      de: Dokumentiertes Verfahren oder Algorithmus zur Ableitung von Sicherheitsschaetzungen aus Quellbelegen.
      fr: Procedure ou algorithme documente utilise pour deriver des estimations de certitude a partir de preuves sources.
      es: Procedimiento o algoritmo documentado utilizado para derivar estimaciones de certeza a partir de evidencia fuente.
      ar: إجراء أو خوارزمية موثقة تُستخدم لاشتقاق تقديرات اليقين من الأدلة المصدرية.
      id: Prosedur atau algoritme terdokumentasi yang digunakan untuk menurunkan estimasi kepastian dari bukti sumber.
      zh: 用于根据来源证据推导可信度估计的已记录流程或算法。
    structured_aliases:
      - literal_form: zekerheidsmethode
        in_language: nl
      - literal_form: Sicherheitsmethode
        in_language: de
      - literal_form: methode d'estimation
        in_language: fr
      - literal_form: metodo de estimacion
        in_language: es
      - literal_form: طريقة التقدير
        in_language: ar
      - literal_form: metode estimasi
        in_language: id
      - literal_form: 估计方法
        in_language: zh
    slots:
      - has_type
      - has_description
      - identified_by
    slot_usage:
      has_type:
        required: true
        examples:
          - value: fuzzy_matching
          - value: ml_prediction
          - value: human_assessment
      has_description:
        examples:
          - value: Weighted Jaro-Winkler similarity with threshold calibration.
      identified_by:
        examples:
          - value: rapidfuzz-2.15.1
    examples:
      - value:
          has_type: llm_classification
          has_description: Ensemble prompt strategy with adjudication pass.
          identified_by: gpt-4.1-entity-eval
        description: Machine-assisted classification procedure
      - value:
          has_type: human_assessment
          has_description: Dual-reviewer adjudication with consensus protocol.
          identified_by: manual-qc-v2
        description: Expert review procedure for uncertain matches
    keywords:
      - algorithm provenance
      - method documentation
      - reproducibility
      - quality workflow
    close_mappings:
      - prov:Plan
      - schema:HowTo
    annotations:
      custodian_types: '["*"]'
      custodian_types_rationale: Method documentation applies to all extraction and validation contexts.
      specificity_score: "0.25"
      specificity_rationale: Low specificity but operationally important for reproducibility.