84 lines
3.2 KiB
YAML
84 lines
3.2 KiB
YAML
id: https://nde.nl/ontology/hc/class/ConfidenceMethod
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name: ConfidenceMethod
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title: Confidence Method
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prefixes:
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linkml: https://w3id.org/linkml/
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hc: https://nde.nl/ontology/hc/
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prov: http://www.w3.org/ns/prov#
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schema: http://schema.org/
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default_prefix: hc
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imports:
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- linkml:types
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- ../slots/has_description
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- ../slots/identified_by
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- ../slots/has_type
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classes:
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ConfidenceMethod:
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class_uri: hc:ConfidenceMethod
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description: >-
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Documented procedure or algorithm used to derive certainty estimates from
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source evidence.
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alt_descriptions:
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nl: Gedocumenteerde procedure of algoritme waarmee zekerheidsinschattingen uit bronbewijs worden afgeleid.
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de: Dokumentiertes Verfahren oder Algorithmus zur Ableitung von Sicherheitsschaetzungen aus Quellbelegen.
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fr: Procedure ou algorithme documente utilise pour deriver des estimations de certitude a partir de preuves sources.
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es: Procedimiento o algoritmo documentado utilizado para derivar estimaciones de certeza a partir de evidencia fuente.
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ar: إجراء أو خوارزمية موثقة تُستخدم لاشتقاق تقديرات اليقين من الأدلة المصدرية.
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id: Prosedur atau algoritme terdokumentasi yang digunakan untuk menurunkan estimasi kepastian dari bukti sumber.
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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。
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structured_aliases:
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- literal_form: zekerheidsmethode
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in_language: nl
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- literal_form: Sicherheitsmethode
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in_language: de
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- literal_form: methode d'estimation
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in_language: fr
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- literal_form: metodo de estimacion
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in_language: es
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- literal_form: طريقة التقدير
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in_language: ar
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- literal_form: metode estimasi
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in_language: id
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- literal_form: 估计方法
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in_language: zh
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slots:
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- has_type
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- has_description
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- identified_by
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slot_usage:
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has_type:
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required: true
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examples:
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- value: fuzzy_matching
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- value: ml_prediction
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- value: human_assessment
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has_description:
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examples:
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- value: Weighted Jaro-Winkler similarity with threshold calibration.
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identified_by:
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examples:
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- value: rapidfuzz-2.15.1
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examples:
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- value:
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has_type: llm_classification
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has_description: Ensemble prompt strategy with adjudication pass.
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identified_by: gpt-4.1-entity-eval
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description: Machine-assisted classification procedure
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- value:
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has_type: human_assessment
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has_description: Dual-reviewer adjudication with consensus protocol.
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identified_by: manual-qc-v2
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description: Expert review procedure for uncertain matches
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keywords:
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- algorithm provenance
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- method documentation
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- reproducibility
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- quality workflow
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close_mappings:
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- prov:Plan
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- schema:HowTo
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annotations:
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custodian_types: '["*"]'
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custodian_types_rationale: Method documentation applies to all extraction and validation contexts.
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specificity_score: "0.25"
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specificity_rationale: Low specificity but operationally important for reproducibility.
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