Evidence before model identity
Selection follows frozen evaluation—not novelty, vendor or model size.
AI-BOOST CHALLENGE 3 · SOLO RESEARCH POC
Evidence decides what AI is allowed to release.
ClinDataGate is an evaluation-first clinical-dataset enhancement POC. It treats every generated value or image as a candidate that must pass explicit fidelity, robustness, privacy and provenance gates—or narrow scope, fall back or abstain.
01 / EVIDENCE TRACE
Follow each claim through the system.
ARCHITECTURE.MAPSelect any component to inspect it.
The cyan connection shows where the selected evidence enters the system.- →
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INSPECTINGContract
Freeze what can be changed, how it will be measured and what remains unavailable.
Connected to selected evidence02 / ENGINEERING DECISIONS
Why the architecture looks this way.
Source meaning stays intact
Unavailable fields remain unavailable instead of being silently inferred or relabelled.
Negative results are product knowledge
A failed generic imaging gate became the reason to pursue acquisition-aware conditioning.
Credibility includes saying what the work does not prove.
Public-proxy feasibility only. This does not establish Challenge KPI attainment, clinical benefit, GDPR compliance, patient-matched CT completion or organiser-data equivalence.