Ian Rivera · Open Science Framework 2026 · 2026
DOI: 10.17605/osf.io/7hdmy
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).
Methods materials for a quantitative comparative study of governed and ungoverned communication of artificial intelligence outputs in NIST RA-5 vulnerability management, reported in three journal articles. The package contains the preregistration and nine dated addenda, the decision log, the decision policy prompt, the Appropriate Reliance Rubric, and the analysis code, with SHA-256 hashes for every file. Study data and pipeline source code are withheld under the approved institutional review protocol and are available to editors and reviewers on reasonable request. Documents are licensed CC BY 4.0 and analysis code under the MIT License
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