Quality

bijux-proteomics-intelligence 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 make intelligence quality about explainability pressure. The package earns trust when recommendation behavior can still be justified through policies, evaluators, reports, and outcomes instead of opaque drift.

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 recommendation changes remain explainable, reviewable, and bounded by decision ownership

First Proof Check

• packages/bijux-proteomics-intelligence/tests
• src/bijux_proteomics_intelligence/policies.py and evaluators.py
• src/bijux_proteomics_intelligence/report/ and outcomes.py

Design Pressure

Intelligence quality breaks down when recommendation changes look plausible but stop being explainable. The section has to force proof that behavior changed on purpose and remains reviewable.