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
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5058430915
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Adinda Tessa Naumi (openalex, provider refresh)
- Adinda Tessa Naumi (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Other: 1 paper
- Research Productivity: 1 paper
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Task Allocation: 1 paper
- Training Effectiveness: 1 paper
- Worker Satisfaction: 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 |
|---|---|---|---|
| Digital da‘wah can amplify — not replace — in-person pesantren rehabilitation, offering a five-part hybrid model that could expand markets for culturally tailored AI-enabled mental‑health tools; however, clinical and economic effectiveness remains untested.openalex | Adinda Tessa Naumi provider id |
2026-09-11 | 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.