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Assessment criterion: A reader can see what the tool affected, what it did not, and how it
           was checked, while privacy is preserved.

         References and Selected Resources

         I. Scientific and Professional References
         [1] UNESCO. (2023). Guidance for Generative AI in Education and Research
         [2] PRISMA Executive. PRISMA 2020 Checklist

         [3] PRISMA Executive. PRISMA 2020 Flow Diagram
         [4]  Page,  M.  J.,  et  al.  (2021).  The  PRISMA  2020  Statement:  An  Updated  Guideline  for
         Reporting Systematic Reviews. BMJ, 372:n71

         [5] Page, M. J., et al. (2021). PRISMA 2020 Explanation and Elaboration. BMJ, 372:n160
         [6] Tricco, A. C., et al. (2018). PRISMA Extension for Scoping Reviews. Annals of Internal

         Medicine, 169(7), 467–473
         [7] EQUATOR Network. Search for Reporting Guidelines
         [8] EQUATOR Network. What Is a Reporting Guideline?
         [9] Crossref. Metadata Search

         [10] Crossref. Simple Text Query: Match References with DOIs
         [11] U.S. Office of Research Integrity. Definition of Research Misconduct

         [12] International Committee of Medical Journal Editors. Use of AI by Authors
         [13]  International  Committee  of  Medical  Journal  Editors.  Preparing  a  Manuscript  for
         Submission to a Medical Journal

         [14] Committee on Publication Ethics. (2023). Authorship and AI Tools
         [15] NISO. CRediT: Contributor Roles Taxonomy
         [16] International Committee of Medical Journal Editors. Responsibilities in the Submission

         and Peer-Review Process
         [17] World Association of Medical Editors. Recommendations on Chatbots and Generative
         Artificial Intelligence in Relation to Scholarly Publications

         [18] Moher, D., et al. (2015). Preferred Reporting Items for Systematic Review and Meta-
         Analysis Protocols. Systematic Reviews, 4:1
         [19] Nosek, B. A., et al. (2018). The Preregistration Revolution. PNAS, 115(11), 2600–2606

         [20]  Wilkinson,  M.  D.,  et  al.  (2016).  The  FAIR  Guiding  Principles  for  Scientific  Data
         Management and Stewardship. Scientific Data, 3:160018
         [21] National Academies of Sciences, Engineering, and Medicine. (2019). Reproducibility and

         Replicability in Science. National Academies Press
         [22] GRADE Working Group. GRADE Handbook

         [23] Booth, A., Sutton, A., Clowes, M., & Martyn-St James, M. (2021). Systematic Approaches
         to a Successful Literature Review. 3rd ed. Sage
         [24] Higgins, J. P. T., Thomas, J., Chandler, J., et al., eds. (2024). Cochrane Handbook for
         Systematic Reviews of Interventions, Version 6.5





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