LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metrics

LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metrics | Signal Canvas | ScienceToStartup

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Proof freshness: fresh
Proof status: unverified
Display score: 7/10
Last proof check: 2026-05-14
Score updated: 2026-05-14
Score fresh until: 2026-06-13
References: 0
Source count: 0
Coverage: 0%

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Canonical ID llms-as-annotators-of-credibility-assessment-in-danish-asylum-decisions-evaluating-classification-performance-and-errors | Route /signal-canvas/llms-as-annotators-of-credibility-assessment-in-danish-asylum-decisions-evaluating-classification-performance-and-errors

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/llms-as-annotators-of-credibility-assessment-in-danish-asylum-decisions-evaluating-classification-performance-and-errors

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metrics

PDF: https://arxiv.org/pdf/2605.13412v1

Repository: https://github.com/glhr/RAB-Cred

Source count: Pending verification

Coverage: 0%

Last proof check: 2026-05-14T20:10:03.947Z

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Subject: LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metrics

LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metrics

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