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Foundation

The lab foundation section exists to answer one downstream question honestly: what assay consequence is justified, what burden and controls does that impose, and what observed outcomes should feed back into later review. If a page here describes generic orchestration without naming assay burden or outcome learning, it is not yet using the right owner language.

That honesty matters more now because upstream workflow, grounding, and recommendation surfaces are stronger than before. Better signal creates sharper assay consequence decisions, more explicit control demands, and more queue or material burden that has to be named before the repository can claim the next step is practical.

Why This Section Is More Important Now

  • it is where stronger upstream science gets translated into actual assay burden rather than optimistic follow-up prose
  • it names the practical limits that keep recommendation surfaces honest when controls, staffing, material, or instrument time become the real bottleneck
  • it makes observed outcomes part of the scientific story instead of letting them disappear after execution
flowchart LR
    recommendation["recommendations"]
    assay_plan["assay plan"]
    execution["experiment execution"]
    outcome["captured outcomes"]
    lab["lab foundation"]
    knowledge["knowledge update"]

    recommendation --> lab
    assay_plan --> lab
    lab --> execution
    execution --> outcome
    outcome --> lab
    lab --> knowledge

What This Section Protects

  • assay-readiness and control demands that stay explicit before spend is committed
  • burden-aware handoff honesty instead of optimistic downstream wording
  • observed-outcome learning that stays tied to real requested follow-up

What This Section Now Carries

  • assay consequence framing that distinguishes compelling follow-up from costly but weak curiosity
  • queue or material burden that must stay visible before downstream spend is normalized
  • observed outcomes that feed back into later evidence and recommendation review

Start With

  • Open Package Overview for the shortest statement of the package role.
  • Open Ownership Boundary when the question is whether a change belongs here or in a neighbor.
  • Open This Package Does Not Own when the question is whether a proposal is trying to smuggle recommendation, scientific law, or runtime control into lab consequence.
  • Open Scope and Non-Goals when a proposed change risks broadening the package.
  • Open Capability Map when you need the concrete work the package is allowed to do.

Section Pages

What This Section Settles

  • when a change truly affects assay consequence instead of only upstream recommendation or runtime delivery
  • which control demands, material limits, and burden signals must remain visible
  • how observed outcomes should feed back into later evidence and recommendation review

Reader Questions This Section Can Answer Well

  • why a downstream step is still exploratory even when the recommendation page sounds strong
  • which control demands or queue limits keep a family below operational confidence
  • how a requested follow-up should be re-read once the observed assay outcome arrives

Strongest Lab Proof

  • start with Package Overview when the question is whether a downstream step is truly lab-owned
  • continue to This Package Does Not Own when someone is trying to hide recommendation posture or workflow law inside lab consequence language
  • open refusal and outcome-learning pages once the real question becomes whether to spend, queue, narrow, rerun, or stop

First Proof Check

  • packages/bijux-proteomics-lab/src/bijux_proteomics_lab
  • packages/bijux-proteomics-lab/tests
  • neighboring handbooks once the change crosses the local boundary

Neighbors