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
1Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
39733951
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Sohail Rao (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Employment: 1 paper
- Training Effectiveness: 1 paper
- Labor Share: 1 paper
- Skill Acquisition: 1 paper
- Task Allocation: 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.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Shortages in diagnostic and laboratory allied-health roles — notably histotechnology and clinical genomics — are persistent and acute in Texas, driven by retirements, program closures, and rising vacancies. At the same time, accelerating AI adoption will reshape staffing toward AI-enabled oversight, interpretation, and informatics, making expansion and modernization of targeted training pipelines urgent while cautioning against growth in occupations showing projected local surplus.openalex | Sohail Rao provider id |
2025-12-02 | 0 |
Citation observation summary
Semantic Scholar 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.