Quality

bijux-proteomics-knowledge quality should tell a reviewer what must remain true, what proof is required, and which risks are serious enough to block a change.

Trust Model

flowchart LR
    invariants["invariants"]
    tests["test strategy"]
    validation["change validation"]
    risks["risk register and limitations"]
    decision["trust or block the change"]

    invariants --> tests --> validation --> risks --> decision

This page should frame knowledge quality as canonical evidence pressure. The package remains trustworthy when claims, confidence, contradiction handling, and review state stay explicit enough for others to consume without guessing.

Start With

• open Invariants before changing package meaning
• open Change Validation when you need the minimum proof for a real edit
• open Risk Register when the package boundary feels under pressure

Section Pages

• Invariants
• Test Strategy
• Change Validation
• Definition of Done
• Dependency Governance
• Documentation Standards
• Known Limitations
• Review Checklist
• Risk Register

What Quality Means Here

• proving that evidence, claims, confidence, and contradiction handling remain canonical and reviewable

First Proof Check

• packages/bijux-proteomics-knowledge/tests
• src/bijux_proteomics_knowledge/claims.py and evidence.py
• src/bijux_proteomics_knowledge/confidence/segments.py and review.py

Design Pressure

Knowledge quality weakens when contradiction and uncertainty handling become harder to inspect than the claims they protect. The section has to keep truth and reviewability linked.