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
0Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2426252385
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Sushmita Vinod Naik (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 2 papers
- Productivity: 2 papers
Claim outcomes
- Task Completion Time: 2 papers
- Organizational Efficiency: 2 papers
- Decision Quality: 1 paper
- Task Allocation: 1 paper
- Adoption Rate: 1 paper
- Firm Revenue: 1 paper
- Output Quality: 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 |
|---|---|---|---|
| ChatGPT-4 slashes multifamily underwriting time by up to 90% in a standardized Seattle test, but consistently misses local market nuances—human oversight remains essential.openalex | Sushmita Vinod Naik provider id |
2026-03-26 | 0 |
| AI agents slashed institutional portfolio review time by 94% in controlled tests on an $80m multifamily portfolio and produced identical strategy recommendations across two LLMs; however, a revealed $0.8–$1.0m timing trade-off means humans remain essential for final fiduciary decisions.openalex | Sushmita Vinod Naik provider id |
2026-01-01 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 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.