Evaluation of 265 Non-LLM Abstention Configurations for Cross-Species Metabolic Inference

This report presents additional validation analyses of Cross-species metabolic inference using empirical summaries and large language models (doi:10.5281/zenodo.23839338).

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-04
DOI
https://doi.org/10.5281/zenodo.23948689
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of 265 Non-LLM Abstention Configurations for Cross-Species Metabolic Inference

Norichika Ogata
Zenodo (CERN European Organization for Nuclear Research)
Microbial Metabolic Engineering and Bioproduction
article

Evaluation of 265 Non-LLM Abstention Configurations for Cross-Species Metabolic Inference

Norichika Ogata
article en

Abstract

This report presents additional validation analyses of Cross-species metabolic inference using empirical summaries and large language models (doi:10.5281/zenodo.23839338).

Zenodo (CERN European Organization for Nuclear Research)
The University of Osaka (JP)
Openalex Percentile: Top 24%
Microbial Metabolic Engineering and Bioproduction
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.

Laika access coming soon
Evaluation of 265 Non-LLM Abstention Configurations for Cross-Species Metabolic Inference — Norichika Ogata · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS