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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5053182413
ORCID evidence
Observed aliases (1)
- Giuseppe Sancataldo (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Market Structure: 1 paper
- Organizational Efficiency: 1 paper
- Ai Safety And Ethics: 1 paper
- Other: 1 paper
- Governance And Regulation: 1 paper
- Adoption Rate: 1 paper
- Decision Quality: 1 paper
- Firm Revenue: 1 paper
- Innovation Output: 1 paper
- Regulatory Compliance: 1 paper
- Research Productivity: 1 paper
- Skill Obsolescence: 1 paper
- Task Completion Time: 1 paper
- Wages: 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 |
|---|---|---|---|
| Large language models can act as 'brains' for modern microscopes, automating protocol design, instrument control and data analysis to speed experiments and raise the value of software and data; yet their deployment creates reproducibility, safety and concentration risks that demand standards, benchmarks and public interventions.openalex | Giuseppe Sancataldo orcid |
2026-03-05 | 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.