This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 1–1 of 1 papers
Juan Francisco Insua Esmorís-Recamán, M. J. Ferreira-Díaz
This implementation case study from a Spanish public hospital demonstrates that nurse-led decarbonization practices can significantly reduce hospital GHG emissions. Between 2021 and 2023, emissions decreased by 35% overall, including 95% re…
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