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Introducing PaperScores: Automated Quality Control for Science

November 21, 2025PaperScores Team

Introducing PaperScores

Science has a quality control problem. Every year, researchers publish over 2.5 million biomedical studies. No human can read them all. No human can verify them all.

The result is noise. Bad studies get published. Good studies get buried. Clinicians struggle to know what to trust.

We built PaperScores to solve this. It is an automated system that audits medical research for structural integrity.

The Symptom: Information Overload

A doctor would need to read 20 papers a day to stay current. This is impossible.

Because of this volume, peer review is breaking down. Reviewers are tired. They miss basic errors. We see p-hacking, small sample sizes, and missing data in published, peer-reviewed journals.

This leads to the "Reproducibility Crisis." We treat weak studies as facts. This wastes money. It hurts patients.

The Mechanism: Structural Auditing

PaperScores is not a summary tool. It is an auditor.

We use Large Language Models (LLMs) to check a paper against six dimensions of quality. We do not ask the AI if the science is "true." We ask if the science is rigorous.

Our system checks:

  1. Methodology: Did they use the right study design?
  2. Transparency: Can another scientist reproduce this?
  3. Statistical Rigor: Did they p-hack? Did they correct for multiple comparisons?
  4. Novelty: Is this actually new?
  5. Applicability: Does this matter for real patients?
  6. Generalizability: Did they only test young, healthy men?

The Prescription: Trust, but Verify

We do not replace human judgment. We augment it.

Think of PaperScores as a pre-flight checklist. A pilot does not fly the plane with a checklist alone. But they never fly without one.

Our AI reads the paper in seconds. It flags the risks. It highlights the strengths. Then, you decide.

How to Use It

  1. Search for a paper by DOI or title.
  2. Read the Scorecard. Look at the "Statistical Rigor" score first.
  3. Check the Flags. If we see p-hacking, we will tell you.

We are cleaning up the scientific record. One paper at a time.

Have questions? Check out our About Page.