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How do researchers use NKTg AI?

Quickly separate the sentence with the research findings or main conclusion from the overview and methodology

Reading scientific literature is daily work for lecturers, researchers, PhD candidates, and students. A scientific paper can span dozens of pages with sections such as Introduction, Methods, Results, Discussion, and Conclusion.

NKTg AI helps users quickly identify a paper's structure, so they can choose the right way to read instead of reading everything from the start.

Scenario 1: Reading a research paper

Analysis result: AMP = 73%, indicating the paper focuses on research findings and verifiable conclusions.

Read the Core Content first, which usually contains:

Scenario 2: Reading a review or theoretical paper

Analysis result: DAMP = 66%, showing the paper focuses on:

In this case, focus on the main arguments, research conditions, limitations, and research gaps.

Scenario 3: Reading research guidelines or standards

Analysis result: AMP = 50%, DAMP = 49%STABLE state.

The document is built to guide or standardize a research process, with no dominant Core Content. Users should read it section by section or step by step.

How to use NKTg AI when reading scientific literature

Value of NKTg AI for researchers

NKTg AI does not assess scientific quality and does not replace peer review. Its value is helping you quickly access the most important information in the original document:

Conclusion

In scientific research, reading fast is only meaningful if you're accessing the right information. NKTg AI helps researchers recognize a document's structure from the start using the AMP, DAMP, and STABLE metrics, helping them choose the right way to read.