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
10Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5053024430
ORCID evidence
Observed aliases (2)
- Laura A. Warner (openalex, provider refresh)
- Laura Warner (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Employment: 1 paper
- Hiring: 1 paper
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Innovation Output: 1 paper
- Regulatory Compliance: 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 |
|---|---|---|---|
| Nurseries face a sustained U.S. labor shortfall that H‑2A visas only partly fill; automation has inched up about 15 percentage points over 15 years but remains patchy—no task is majority-automated—so public funding and shared-equipment models will be pivotal to develop weather-robust, low-cost AI/robotics for this heterogeneous sector.semantic_scholar | Laura Warner orcid |
Fetched 2026-03-15 | 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.