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:
A5148859751
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Jingchun Sun (openalex, provider refresh)
- Jingchun Sun (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
Claim outcomes
- Decision Quality: 1 paper
- Ai Safety And Ethics: 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 |
|---|---|---|---|
| Probabilistic boosting outperforms deep tabular nets for stable credit-risk probabilities: NGBoost–SHAP gives better-calibrated, less regime-sensitive 1‑year bankruptcy forecasts across US and China, whereas TabNet–SHAP adapts faster but is more variable and preprocessing-sensitive.openalex | Jingchun Sun provider id |
2026-08-31 | 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.