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
5Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2322344368
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Jiayu Zhou (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
Claim outcomes
- Decision Quality: 1 paper
- Other: 1 paper
- Adoption Rate: 1 paper
- Fiscal And Macroeconomic: 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 |
|---|---|---|---|
| A physics-grounded LLM can recommend near-optimal home energy retrofits from basic homeowner descriptions, matching simulation-derived CO2 and payback objectives with >90% top-3 accuracy; however, the results are simulation-validated and not yet demonstrated to change real-world adoption or realized savings.arxiv | Jiayu Zhou provider id |
2026-02-19 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.