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 1–2 of 2 papers
Xiujing Chen, Tianyang Lei, Weichen Zhao +3
This study analyzes CO2 emissions from 3,119 petrochemical plants in China, covering 123 products and 185 processes. Annual emissions are estimated at 813.7 Mt CO2 (±25%). Low-carbon substitutions can reduce carbon intensity by up to 2.9 tC…
Michelline Marie Regina Kansole, Mahamadi Nikièma, Tog-Noma Patricia Emma Bontogho +1
This study assesses GHG emissions from a gold mine in Burkina Faso, focusing on Scope 1 and Scope 2. Total annual emissions are 215,349.50 tCO₂e, with electricity consumption as the largest source. Mitigation strategies include hybrid solar…
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