Work

Automation is not evidence of efficiency

Year: 2026

Type: article

Abstract: We welcome Hodgson et al. (2026) empirical evaluation of ontology-grounded large language models (LLMs) for data extraction in environmental evidence synthesis. The study makes a valuable contribution by quantifying performance across attribute types and by openly documenting where current approaches struggle.

Source: Environmental Evidence

DOI: 10.1186/s13750-026-00388-7

Authors: Matthew Grainger, Sini Savilaakso, Neal Haddaway, Chris Pritchard

Institutions: Norwegian Institute for Nature Research, University of Helsinki, Nottingham Trent University

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,690

OpenAlex ID: W7167037343