paper-review

Structured academic peer review involves converting fuzzy author requirements into precise evaluation prompts, applying seven core dimensions like originality, methodology, and data analysis, and classifying issues into structural and extension problems to generate actionable feedback.

To evaluate research methodology and critique data analysis, apply rigorous assessment dimensions covering methodology严谨性 and data analysis results, identifying specific structural problems that must be fixed versus endless extension issues to discard.

Yes, automated paper review supports interdisciplinary research, covering social sciences, humanities, STEM, and mixed methods research scenarios through its seven-dimension evaluation framework and iterative workflow.

The best way to classify peer review issues is differentiating them into A-class structural problems requiring mandatory correction and B-class endless extension problems to discard, producing differentiated outputs for targeted manuscript improvement.

Iterative manuscript evaluation handles limitations by applying a termination signal when the manuscript's core contribution outweighs its remaining limitations, ensuring the review process does not chase endless extension problems.

A literature review and contribution analysis should cover originality and contribution, research questions, literature review depth, methodology, data analysis, discussion and conclusions, and logic and expression.