Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AutoReporter: development of an artificial intelligence tool for automated assessment of research reporting guideline adherence
0
Zitationen
9
Autoren
2025
Jahr
Abstract
Large language models can feasibly automate reporting guideline adherence assessments for scalable quality control in scientific research reporting. AutoReporter is publicly accessible at https://autoreporter.streamlit.app.
Ähnliche Arbeiten
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
2021 · 85.457 Zit.
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
2009 · 82.813 Zit.
The Measurement of Observer Agreement for Categorical Data
1977 · 76.990 Zit.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
2009 · 62.834 Zit.
Measuring inconsistency in meta-analyses
2003 · 61.542 Zit.