Emission-GPT · Agentic Research Directory

At a glance

Type

Tool

Workflow level

Workflow unspecified / not applicable

Organisation

Emission-GPT authors

Year

2025

Disciplines

Computer scienceEarth & environmental science

Tasks

Data analysisKnowledge synthesis

Entry updated

2026-10-17

Evidence & verification

Source level

Preprint (not peer-reviewed)
Grounded in a preprint that had not completed peer review at the time the source was checked.

Outcome verification

Author-reported
Outcomes are reported by the team that built the system. The entry is source-checked against the team's own publications; not independently reproduced.

Sources checked

2026-10-16 (UTC)

Authors' own publication (preprint, checked live 2026-10-16).[20] Performance claims are not independently reproduced.

Source-checked does not mean independently reproduced. See the Method page for how these labels are assigned.

Sources (1)

Research applicability

Knowledge-enhanced LLM agent for the atmospheric-emissions domain: domain question answering plus natural-language analysis of emission inventories; case study in Guangdong Province.[20]

Getting started

Review the paper (arXiv:2510.02359) for the system and knowledge base; availability not verified.

Maintenance

Maintenance status not independently audited.

License

Not independently audited.

Workflow & human oversight

Resource-level classification is intentionally unspecified; instantiated workflows may differ. Humans set objectives and validate results.

Workflow level is not an evidence score; higher is not better evidence.

Approach

Built on a curated knowledge base of over 10,000 documents (standards, reports, guidebooks, peer-reviewed literature) with prompt engineering and question completion; supports querying and visualizing inventories, analysing source contributions and recommending emission factors for user-defined scenarios.[20]

Outcomes (as reported by the originating team)

Author-reported case study: extraction of key insights (point-source distributions, sectoral trends) directly from raw data with simple prompts.

Limitations

Preprint; not independently reproduced; code availability not verified. Knowledge-base currency not assessed.

Reproducibility

Live source checks 2026-10-16: arXiv:2510.02359. No claimed outcome reproduced.

Adoption requirements

Not verified in checked records; knowledge base and LLM access required; assess before adoption.

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