Emmanuel Dacosta Mensah · Zenodo (CERN European Organization for Nuclear Research) 2026 · 2026
DOI: 10.5281/zenodo.22941286
Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).
This technical preprint examines auditable controls for AI-assisted employee onboarding, focusing on data readiness, source evidence, human review, and release authority. Using synthetic onboarding records, it evaluates evidence-gating controls and identifies boundary conditions where structured validation and confidence scores may fail to detect semantic errors or source-data inaccuracies.
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