This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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 1781–1781 of 1781 papers
W. Muizelaar, K. Nichols, H. Taweel +3
This study investigates the dose-dependent effects of synthetic bromoform infused into the rumen of cattle on methane production. Results show a nonlinear reduction in methane with increasing dose, achieving ~90% reduction at the highest do…
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