A methodological framework for transparent and reproducible diagnostic inference.
BDA Genesis provides a deterministic reference framework that makes reasoning paths explicit, comparable and reviewable, without automating decisions.
Academic Bundle – Public Reference Package
This public package provides a compact reference case for research and teaching. It is designed to make diagnostic inference paths explicit, comparable and reproducible.
Included content
- Structured overview (modules and scope)
- Reference case TH-001 (non-commercial)
- Example input/output data structure
- Exemplary methodology excerpt (how reasoning is documented)
Boundary
The Academic Bundle is intended exclusively for research and teaching and does not convey product, license or usage rights for operational deployment.
University Package – Research Extract
This curated extract supports evaluation and onboarding in academic contexts. It provides methodological and structural positioning without transferring rights for operational use.
Included content
- Table of contents and module overview
- Selected example chapter and an exemplary methodology part
- Example data structure (inputs / outputs)
- Reference prompt / structured template fragments
- Notes on governance, reproducibility and traceability
Boundary
This extract is a public reference for methodological discussion and does not convey product, license or usage rights.
Extended University Package – Academic Exchange
The extended package is provided in direct academic exchange to enable proper context, scientific classification and collaboration. It is not offered as an open download.
How to request
Please use the “Contact for academic exchange” button above (mailto) and include your institution, intended research/teaching context and a contact person.
Research collaboration (optional)
Beyond the public bundles, academic exchange can focus on:
- reproducibility of diagnostic inference paths
- governance artifacts for auditability in expert-driven domains
- structured input/output schemas for empirical evaluation