Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
1Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2400494668
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Qi He (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Error Rate: 1 paper
- Firm Productivity: 1 paper
- Other: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Turning old landfills into modular waste-to-energy assets could cut methane emissions by up to 70% and deliver ~20 MW of islandable power per site, offering crucial microgrid resilience for AI data centres; in the U.S., fragmented governance and accounting rules make such de‑landfilling a politically and institutionally distinct challenge, so remediation should be valued as a resilience buffer rather than a substitute for bulk renewables.arxiv | Qi He provider id |
2025-12-22 | 18 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 18 cumulative citations. This is a coverage summary, not an author score or h-index.