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bijux-proteomics-intelligence

bijux-proteomics-intelligence owns decision policy in bijux-proteomics. It turns evidence and program constraints into scores, rankings, scenarios, and explanations that remain inspectable instead of pretending to be upstream fact. This is where the system stops only describing the world and starts making judgments about what should happen next.

flowchart LR
    foundation["foundation<br/>shared meaning"]
    core["core<br/>durable rules"]
    knowledge["knowledge<br/>evidence state"]
    intelligence["intelligence<br/>scores, scenarios, explanations"]
    lab["lab<br/>plans and outcomes"]
    runtime["runtime<br/>execution"]

    foundation --> intelligence
    core --> intelligence
    knowledge --> intelligence
    intelligence --> lab
    intelligence --> runtime

What Makes This Package Different

  • it does not claim to be raw truth
  • it turns evidence plus constraints into choices
  • it must explain itself because recommendation without explanation is only opaque force

What It Owns

  • candidate scoring and ranking policy
  • scenario evaluation and recommendation logic
  • explanation and reporting surfaces for those decisions

Start With

  • Open Foundation for the package role and boundary.
  • Open Interfaces when the issue is a policy-facing surface or explanation output.
  • Open bijux-proteomics-knowledge when the disagreement is about evidence state rather than recommendation policy.

What It Refuses

  • evidence truth and contradiction handling
  • durable program contracts and shared payload meaning
  • execution and operator-facing runtime behavior

First Proof Check

  • packages/bijux-proteomics-intelligence/src/bijux_proteomics_intelligence
  • packages/bijux-proteomics-intelligence/tests
  • explainability and reporting modules once a claim narrows to one surface