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
6Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2348477309
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Larry Murray (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Organizational Efficiency: 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 |
|---|---|---|---|
| A new Intelligence Impact Quotient (IIQ) quantifies how deeply AI is embedded in work by combining time-decayed token stocks, usage frequency, recency gates and measures of leverage, task complexity and autonomy. Unlike raw usage counts, IIQ aims to separate repetitive low-leverage prompting from higher-consequence, autonomous AI-assisted tasks and offers bounded interpretations of efficiency and financial impact for deployment monitoring.arxiv | Larry Murray provider id |
2026-05-14 | 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.