preprintZenodo (CERN European Organization for Nuclear Research)Mar 14, 2026GREEN OA

Confidence Calibration for Evidence-Graded Knowledge Graph Edges: Methods, Metrics, and Cold-Start Protocols

RMRogier Meulenaar

Radboud University Nijmegen

Indexed indatacite

Abstract

Paper 3 in the Prioris research series. Analyzes Platt scaling, isotonic regression, and temperature scaling for knowledge graph edge calibration. Proposes level-specific quality metrics and a cold-start calibration protocol. Shows ECE = 500 samples. Part of the research programme (Paper 0: 10.5281/zenodo.19024611).

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Topics & keywords

Topics
Keywords
  • Graph
  • Calibration
  • Scaling
  • Knowledge graph
  • Enhanced Data Rates for GSM Evolution
  • Quality (philosophy)
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