review

Automated manuscript review validates data consistency, boundary declarations, and chart quality. It cross-checks evidence files, verifies table values, and generates P0/P1/P2 reports to ensure Sensors MDPI submissions meet reproducible editorial standards.

Holm correction adjusts p-values to control the family-wise error rate in multiple hypothesis testing. This review workflow automatically verifies Holm-adjusted p-values within manuscript tables and results sections to ensure statistical rigor during editorial review.

Checking table values and figures involves cross-referencing manuscript content against original evidence files. This workflow locates the latest submission version, verifies numerical consistency, and audits figure legends and unit declarations for clarity.

Generating structured peer review reports with P0/P1/P2 severity levels is supported. The workflow categorizes data validation failures and boundary declaration issues by severity, outputting a submission-ready package with actionable improvement suggestions.

Automated peer review targets Sensors MDPI submissions but applies to similar academic papers requiring reproducible checks. It validates data consistency and chart quality across tables, figures, and results for any manuscript preparation workflow.

Automated manuscript data validation focuses on numerical consistency, boundary declarations, and chart formatting. It does not assess scientific novelty, theoretical soundness, or literature coverage, requiring human judgment for broader editorial review decisions.