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
3Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5073272459
ORCID evidence
Observed aliases (2)
- Cecilia Jona-Lasinio (openalex, provider refresh)
- Cecilia Jona‐Lasinio (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Other: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex 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 |
|---|---|---|---|
| Software and software R&D—linked to AI—explain half of U.S. nonfarm business labor productivity growth between 2017 and 2024, and half of the 1.2 percentage-point acceleration versus the prior five years, implying AI is already materially affecting official productivity measures.semantic_scholar | Cecilia Jona-Lasinio orcid |
Fetched 2026-05-20 | 0 |
Citation observation summary
OpenAlex 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.