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Updated: Jul 10, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
Published on: August 29, 2025
GeneRIF quality assurance as summary revision
Zhiyong Lu1, K Bretonnel Cohen, Lawrence Hunter
1Center for Computational Pharmacology, University of Colorado Health Sciences Center; Aurora, CO 80045, USA. Zhiyong.Lu@uchsc.edu
Abstract:
Like the primary scientific literature, GeneRIFs exhibit both growth and obsolescence. NLM's control over the contents of the Entrez Gene database provides a mechanism for dealing with obsolete data: GeneRIFs are removed from the database when they are found to be of low quality. However, the rapid and extensive growth of Entrez Gene makes manual location of low-quality GeneRIFs problematic. This paper presents a system that takes advantage of the summary-like quality of GeneRIFs to detect low-quality GeneRIFs via a summary revision approach, achieving precision of 89% and recall of 77%. Aspects of the system have been adopted by NLM as a quality assurance mechanism.
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