FIELD NOTES / Scientific AI Systems
Research OS
How can a computational result be traced to its inputs, validation checks and permitted scientific claims?
Last reviewed 2026-10-19 · Non-sensitive overview of private work
Overview
Biomedical research reliability · Research OS
记录分析输入、验证过程，以及结果能够支持哪些科学结论。
Research Question
How can a computational result be traced to its inputs, validation checks and permitted scientific claims?
Technical Approach
Versioned evidence contracts, a local tabular runtime, analysis and prediction adapters, leakage/calibration checks, claim gates and read-only interface projections. The inspected v0.4 runtime is deterministic and does not use an LLM; separate research modules explore scientific evidence governance.
- Local tabular input
- Versioned plan
- Analysis / prediction
- Scientific validation
- Permitted claims + human review
My Contribution
Developed local research workflow prototypes, evidence contracts, validation gates and scientific audit packages. Each prototype addresses a defined stage of the research process.
Evidence
- Source-inspected runtime: intake → analysis/prediction → validation → claim permissions.
- Scientific invariant tests cover causality boundaries, leakage, calibration and reproducibility.
- Read-only SHA256 verification confirmed the integrity of the frozen writing package. Scientific validity requires separate evaluation.
Outputs
- Local tabular analysis/prediction runtime
- Versioned claim and validation contracts
- Read-only research interface prototype
- Frozen evidence and writing preparation package
Current Status
Prototype scope. No claim of production readiness, autonomous discovery, clinical utility or a published Research OS paper.
Related Publications
No project-specific peer-reviewed publication is listed. Ongoing work is kept separate from the published bibliography.