Does Your Paper Really Suck?
6 hours ago
- #AI evaluation
- #publishing bias
- #scientific quality
- QED Science developed a QED score using LLMs to review papers for originality and validity, claiming it is a better measure of scientific quality than journal rank.
- The article critiques three validation studies in QED's white paper, finding methodological issues, opacity, and inconsistent evidence that undermine claims of accuracy and reduced bias.
- Case study 1 lacks transparency in data and methodology, case study 2 shows inconsistent correlations with journal metrics, and case study 3 has uncontrolled variables, failing to prove QED's superiority.
- The QED score exhibits geographic bias, with African and South American papers significantly underrepresented in the top 1% rankings, raising concerns about fairness.
- While AI tools like QED can aid in triaging papers, compressing scientific work into a single number is problematic without rigorous validation and may discard important contextual information.
- The rapid growth of scientific publishing and AI-generated content necessitates better evaluation systems, but the QED score has not been adequately validated and should not be trusted as a sole quality measure.