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 →
2Distinct papers
6Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2975143
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- V. Digalakis (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Governance: 2 papers
- Org Design: 2 papers
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 2 papers
- Decision Quality: 2 papers
- Organizational Efficiency: 2 papers
- Governance And Regulation: 2 papers
- Task Completion Time: 1 paper
- Output Quality: 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 deployment-aware framework upends capability-only leaderboards: ML Compass optimizes model choice over capability, cost and compliance trade-offs and often recommends different models than capability rankings, with optimal internal measures either fixed by compliance, saturated by limits, or set interiorly depending on frontier curvature.openalex | V. Digalakis provider id |
2025-12-29 | 1 |
| Model-switch timing is governed by learning speed: when model improvement follows a power law the optimal evaluation time scales as T^{1/(1+α)}, so learning-curve shape — not immediate cost — primarily determines when to stop experimenting. A sequential testing rule that anticipates local trends achieves near-oracle performance in theory and in a real-world credit-scoring deployment, avoiding premature discard or mistimed one-shot tests.openalex | V. Digalakis provider id |
2025-12-20 | 1 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 2 cumulative citations. This is a coverage summary, not an author score or h-index.