Advancing plant metabolic research by using large language models to expand databases and extract labeled data

We enumerate several suggestions for researchers working with language models, among which is the importance of the user's domain-specific expertise and knowledge.

Authors

Institutions

Publication Details

Journal
Applications in Plant Sciences
Published
2025-05-14
DOI
https://doi.org/10.1002/aps3.70007
Citations
2
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
1.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancing plant metabolic research by using large language models to expand databases and extract labeled data

Lucas Busta, Rachel Knapp, Braidon Johnson
2 citations
Applications in Plant Sciences
Genomics and Phylogenetic Studies
1.61
article

Advancing plant metabolic research by using large language models to expand databases and extract labeled data

Lucas Busta, Rachel Knapp, Braidon Johnson
article en
2 citations

Abstract

We enumerate several suggestions for researchers working with language models, among which is the importance of the user's domain-specific expertise and knowledge.

Applications in Plant SciencesVol. 13(4)
University of Minnesota, Duluth (US)
University of Minnesota, University of Minnesota Duluth
Quality Education
Openalex Percentile: Top 17%
Genomics and Phylogenetic Studies
1.61
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advancing plant metabolic research by using large language models to expand databases and extract labeled data — Lucas Busta, Rachel Knapp, et al. · Applications in Plant Sciences (2025) | TGRS Research Map | TGRS