ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024
Structured Knowledge Base Enhances Effective Use of Large Language Models for Metadata Curation.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- From manual entry to machine precision: challenges and evolution of metadata schema development in collaborative research centers.BMC research notes · 2026Article
- Improving FAIRness of Geospatial data using Large Language Models.Scientific data · 2026Article
- Transforming lung transplantation with artificial intelligence: a narrative review from organ allocation to post-transplant management.Journal of thoracic disease · 2026Review
- Toward total recall: Enhancing data FAIRness through AI-driven metadata standardization.GigaScience · 2026Article
- Enhanced semantic classification of microbiome sample origins using large language models (LLMs).GigaScience · 2026Article
- Large-scale manual curation and harmonization of metadata from metagenomic and cancer genomic repositories: challenges and solutions.Database : the journal of biological databases and curation · 2026Article
- Evaluating large language models for domain-specific scholarly metadata classification.Frontiers in research metrics and analytics · 2026Article
- Extraction of biological terms using large language models enhances the usability of metadata in the BioSample database.GigaScience · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
40417549PMC12099408What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.