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- kb/concepts/Claude Code Auto Mode.md
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- kb/concepts/Confidence Scoring.md
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- kb/concepts/Cross-platform Agent Skills.md
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- kb/concepts/Implementation Spectrum.md
- kb/concepts/Index Scaling.md
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- kb/concepts/Mass-Update Gate.md
- kb/concepts/Memory Lifecycle.md
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- kb/concepts/Modbus.md
- kb/concepts/Multi-Agent Collaboration.md
- kb/concepts/Naming Convention Conflict.md
- kb/concepts/OKF Compatibility.md
- kb/concepts/Optional Instance Context File.md
- kb/concepts/Personalization Plane.md
- kb/concepts/Privacy and Governance.md
- kb/concepts/Procedural Memory.md
- kb/concepts/Publish-Remote Gate.md
- kb/concepts/Quality Scoring.md
- kb/concepts/Quality and Self-Correction.md
- kb/concepts/RAG.md
- kb/concepts/Reciprocal Rank Fusion.md
- kb/concepts/SSD TRIM.md
- kb/concepts/Scale Ceiling.md
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- kb/concepts/Semantic Lint Automation.md
- kb/concepts/Semantic Memory.md
- kb/concepts/Session Orientation.md
- kb/concepts/Shared vs Private.md
- kb/concepts/Split Merge Reclassify.md
- kb/concepts/Split Threshold.md
- kb/concepts/Structural Enforcement over Documented Rule.md
- kb/concepts/Stub Threshold.md
- kb/concepts/Supersession.md
- kb/concepts/Three-Layer Architecture.md
- kb/concepts/Token Economics.md
- kb/concepts/Typed Relationships.md
- kb/concepts/User Management.md
- kb/concepts/Vector Search.md
- kb/concepts/Work Coordination.md
- kb/concepts/Workflow Extraction.md
- kb/concepts/Workflow Orchestration.md
- kb/concepts/Working Memory.md
- kb/concepts/Write-Once Frontmatter Fields.md
- kb/concepts/architectures/Consolidation Tiers.md
- kb/concepts/architectures/Context Isolation.md
- kb/concepts/architectures/Cross-platform Agent Skills.md
- kb/concepts/architectures/Episodic Memory.md
- kb/concepts/architectures/Hybrid Search.md
- kb/concepts/architectures/Implementation Spectrum.md
- kb/concepts/architectures/Knowledge Graph.md
- kb/concepts/architectures/LLM Wiki Pattern.md
- kb/concepts/architectures/MCP-Leseserver.md
- kb/concepts/architectures/Memory Lifecycle.md
- kb/concepts/architectures/OKF Compatibility.md
- kb/concepts/architectures/Optional Instance Context File.md
- kb/concepts/architectures/Personalization Plane.md
- kb/concepts/architectures/Procedural Memory.md
- kb/concepts/architectures/RAG.md
- kb/concepts/architectures/Scale Ceiling.md
- kb/concepts/architectures/Semantic Memory.md
- kb/concepts/architectures/Three-Layer Architecture.md
- kb/concepts/architectures/Token Economics.md
- kb/concepts/architectures/Working Memory.md
- kb/concepts/decisions/Delete Rather Than Anonymize.md
- kb/concepts/decisions/Denylist over Allowlist.md
- kb/concepts/decisions/Diff-Reviewable Agent Edits.md
- kb/concepts/decisions/Dual Licensing by File Plan.md
- kb/concepts/decisions/Issue Label Scheme.md
- kb/concepts/decisions/KB Stack Versioning.md
- kb/concepts/decisions/Structural Enforcement over Documented Rule.md
- kb/concepts/patterns/Audit Trail.md
- kb/concepts/patterns/BM25.md
- kb/concepts/patterns/Command Round-Trip Integrity.md
- kb/concepts/patterns/Confidence Scoring.md
- kb/concepts/patterns/Contradiction Resolution.md
- kb/concepts/patterns/Entity Extraction.md
- kb/concepts/patterns/Filter on Ingest.md
- kb/concepts/patterns/Forgetting.md
- kb/concepts/patterns/Graph Traversal.md
- kb/concepts/patterns/Mesh Sync.md
- kb/concepts/patterns/Quality Scoring.md
- kb/concepts/patterns/Reciprocal Rank Fusion.md
- kb/concepts/patterns/Self-Healing.md
- kb/concepts/patterns/Shared vs Private.md
- kb/concepts/patterns/Typed Relationships.md
- kb/concepts/patterns/Vector Search.md
- kb/concepts/patterns/Work Coordination.md
- kb/concepts/problems/Ambient Environment Dependency.md
- kb/concepts/problems/Detect-Repair Asymmetry.md
- kb/concepts/problems/Green Suite Blind Spot.md
- kb/concepts/problems/Naming Convention Conflict.md
- kb/concepts/problems/Write-Once Frontmatter Fields.md
- kb/concepts/protocols/CPPC.md
- kb/concepts/protocols/Modbus.md
- kb/concepts/protocols/SSD TRIM.md
- kb/concepts/workflows/Anti-Cramming Heuristic.md
- kb/concepts/workflows/Bulk Operations.md
- kb/concepts/workflows/CI Integration.md
- kb/concepts/workflows/Checkpoint Audit.md
- kb/concepts/workflows/Claude Code Auto Mode.md
- kb/concepts/workflows/Content Quality Control.md
- kb/concepts/workflows/Crystallization.md
- kb/concepts/workflows/Event-Driven Automation.md
- kb/concepts/workflows/Hooks.md
- kb/concepts/workflows/Index Scaling.md
- kb/concepts/workflows/Iteration and Cost Limits.md
- kb/concepts/workflows/KB Migration.md
- kb/concepts/workflows/Knowledge Compounding.md
- kb/concepts/workflows/Lint Workflow.md
- kb/concepts/workflows/Mass-Update Gate.md
- kb/concepts/workflows/Multi-Agent Collaboration.md
- kb/concepts/workflows/Privacy and Governance.md
- kb/concepts/workflows/Publish-Remote Gate.md
- kb/concepts/workflows/Quality and Self-Correction.md
- kb/concepts/workflows/Semantic Lint Automation.md
- kb/concepts/workflows/Session Orientation.md
- kb/concepts/workflows/Split Merge Reclassify.md
- kb/concepts/workflows/Split Threshold.md
- kb/concepts/workflows/Stub Threshold.md
- kb/concepts/workflows/Supersession.md
- kb/concepts/workflows/User Management.md
- kb/concepts/workflows/Workflow Extraction.md
- kb/concepts/workflows/Workflow Orchestration.md
- kb/index.md
- kb/log.md
- tools/CONTRACT.md
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- tools/chemenu/catalog.py
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- tools/chemenu/lint_core.py
- tools/chemenu/tests/conftest.py
- tools/chemenu/tests/test_cite_cmd.py
- tools/chemenu/tests/test_git_publish.py
- tools/chemenu/tests/test_index_build.py
- tools/chemenu/tests/test_lint.py
- tools/chemenu/tests/test_new_page.py
- tools/chemenu/tests/test_provenance.py
- tools/chemenu/tests/test_type_resolver.py
- tools/chemenu/tests/test_xref.py
- types/concept.md
- types/type-spec.md
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4.9 KiB

type, concept_type, tags, created, modified, related, sources, confidence, confidence_base, provenance, summary
type concept_type tags created modified related sources confidence confidence_base provenance summary
types/concept.md pattern
confidence
scoring
reliability
knowledge-management
2026-07-26 2026-08-29
part-of
Memory Lifecycle
exemplifies
LLM Wiki Pattern
Source - LLM Wiki v2
0.95 0.95 sourced Mechanismus, der faktischen Aussagen quantitative Werte nach Quellenzahl, Aktualität, Qualität und Bestätigung zuweist, um gut gestütztes Wissen zu erkennen.

Confidence Scoring

Typ: Pattern (Wissens-Zuverlässigkeitsbeurteilung)

Definition

Confidence Scoring ist ein Mechanismus zur Zuweisung einer quantitativen Konfidenz-Bewertung zu jedem faktische Aussage im Wiki, der es dem LLM ermöglicht, zwischen gut gestütztem Wissen und vorläufigen Beobachtungen zu unterscheiden. Dies ist eine Kernkomponente der Memory Lifecycle-Verwaltung.

Kernpunkte

Die Scoring-Formel

Die Konfidenz-Bewertung jedes faktischen Aussage wird berechnet aus:

Faktor Gewichtung Beschreibung
Basis-Konfidenz +0.5 Standard für jeden Aussage aus einer einzigen Quelle
Quellenanzahl +0.2 pro Quelle (max +0.6) Mehr Quellen = höhere Konfidenz
Aktualität +0.2 (<30 Tage), +0.1 (<90 Tage) Aktuelle Bestätigungen erhöhen Konfidenz
Quellenqualität +0.1 (Amtliche Dokumente), +0.05 (Reputabel) Bessere Quellen = höhere Konfidenz
Bestätigung +0.1 Mehrere unabhängige Quellen stimmen überein
Maximum 1.0 Vollständige Konfidenz (selten)

Konfidenz-Verfall

Die Konfidenz verfällt um 1% pro Monat seit der letzten Bestätigung, mit einem Minimum von 0.2.

Dies modelliert die natürliche Erosion der Wissenssicherheit im Laufe der Zeit.

Konfidenz-Schwellwerte für Sprache

Bei der Synthese von Antworten sollte der LLM Konfidenz-Bewertungen verwenden, um Aussagen zu qualifizieren:

  • Konfidenz ≥ 0.6: Als Tatsache angeben („Projekt X verwendet Redis")
  • 0.4 ≤ Konfidenz < 0.6: Versuchsweise Sprache verwenden („möglicherweise", „kann")
  • 0.2 ≤ Konfidenz < 0.4: Als unsicher markieren („unsicher", „unbestätigt")
  • Konfidenz < 0.2: Sollte nicht in Antworten verwendet werden

Implementierung

Zu verfolgbende Metadaten

Für jede Aussage speichern:

source: [list of source IDs]
source_dates: [list of dates]
last_confirmed: YYYY-MM-DD
confidence: 0.XX
quality_flags: [official, reputable, etc.]

Automation

Confidence Scoring funktioniert am besten mit Event-Driven Automation:

  • Bei Quellenaufnahme: Anfängliche Konfidenz für extrahierte Aussagen berechnen
  • Bei Zugriff auf Aussagen: Konfidenz erhöhen (Verstärkung)
  • Bei neuer bestätigender Quelle: Konfidenz erhöhen, Quellen aktualisieren
  • Bei Widerspruch: Supersession oder Contradiction Resolution auslösen
  • Nach Zeitplan (monatlich): Alle Konfidenz-Scores verfallen lassen

Beispiele

Aussage: „Das CI-System verwendet BuildKit auf Port 1234"

  • Quelle 1: Interne Dokumentation (Amtlich) - datiert 2026-07-01
  • Quelle 2: Team-Besprechungsnotizen (Reputabel) - datiert 2026-07-15
  • Zuletzt bestätigt: 2026-07-20
  • Aktuelles Datum: 2026-07-26

Berechnung:

  • Basis: +0.5
  • Quellenanzahl (2): +0.4 (begrenzt auf +0.6, also +0.4)
  • Aktualität: +0.2 (Quelle 2 < 30 Tage)
  • Quellenqualität: +0.1 (Quelle 1 ist Amtlich)
  • Zwischensumme: 1.2 → Begrenzt auf 1.0
  • Verfall: 6 Tage seit letzter Bestätigung ≈ 0.2% Verfall
  • Endgültige Konfidenz: 0.996 ≈ 0.996

Aussage: „Das CI-System verwendet BuildKit auf Port 1234." (als Tatsache angegeben)

Vorteile

  • Transparenz: Benutzer wissen, wie zuverlässig jeder Aussage ist
  • Priorisierung: Hochkonfidenz-Informationen erscheinen zuerst
  • Vertrauen: Stärkt das Vertrauen der Benutzer in die Wiki-Genauigkeit
  • Selbstkorrektur: Aussagen mit niedriger Konfidenz erhalten Aufmerksamkeit zur Überprüfung

Wann zu verwenden

  • Alle faktischen Aussagen im Wiki
  • Besonders wichtig für:
    • Technische Spezifikationen
    • Architekturentscheidungen
    • Sicherheitsbezogene Informationen
    • Zeitempfindliches Wissen

Wann NICHT zu verwenden

  • Meinungen oder subjektive Aussagen
  • Definitionen, die sich nicht ändern
  • Reine deskriptive Metadaten

Verwandte Concepts

Siehe auch

Beziehungen