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 span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5133311766
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Mariola Pytlikova (openalex, provider refresh)
- Mariola Pytlikova (openalex, source metadata)
- Pytlikova, Mariola (openalex, provider refresh)
- Pytlikova, Mariola (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Automation Exposure: 1 paper
- Skill Acquisition: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| AI adoption patterns differ by technology: firms with STEM-rich workforces are more likely to adopt core AI tools, whereas generative AI is associated with firms employing more non‑STEM university graduates. Firm size and digital maturity predict both adoption and how broadly technologies are deployed, while commonly used occupational exposure measures vary widely in their ability to detect real-world adoption.openalex | Pytlikova, Mariola provider id |
2026-01-01 | 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.