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 →
2Distinct papers
11Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
101207314
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Wensu Li (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Labor Markets: 2 papers
- Productivity: 2 papers
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
Claim outcomes
- Automation Exposure: 2 papers
- Other: 2 papers
- Output Quality: 1 paper
- Task Allocation: 1 paper
- Labor Share: 1 paper
- Adoption Rate: 1 paper
- Employment: 1 paper
- Firm Productivity: 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.
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 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.