# Learner lab record: Metric-engineering sequential feasibility gate

Course: Metric-engineering research studio

Name: ____________________  Date: ____________________  Group: ____________________

## Investigation question

Can a proposed metric-engineering program advance from invariant observable to source closure and independent replication without skipping a failed dependency?

## Setup

Use the metric stage gate. Declare one invariant mission observable and threshold, then evaluate sensitivity, source realization, numerical convergence, conventional nulls, and replication in their enforced order.

## Variables

| Variable | Role | Unit |
| --- | --- | --- |
| Invariant observable and threshold | mission specification | declared physical unit |
| Geometry/source parameters | model inputs | declared |
| Convergence and null residuals | validation diagnostics | dimensionless/observable unit |
| Gate state | dependent decision | hold or advance |

## Predict before changing controls

1. Predict which gate fails first for the current proposal.

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2. State the quantitative evidence required to reopen that gate.

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## Observation table

| gate | input artifact | threshold | measured result | uncertainty | pass/hold | next dependency |
| --- | --- | --- | --- | --- | --- | --- |
|   |   |   |   |   |   |   |
|   |   |   |   |   |   |   |
|   |   |   |   |   |   |   |
|   |   |   |   |   |   |   |
|   |   |   |   |   |   |   |
|   |   |   |   |   |   |   |

## Analyze

1. Is the observable coordinate-invariant and instrument-addressable?

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2. Does the source model close conservation and preparation?

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3. Are numerical results converged across methods?

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4. Which conventional null remains closest to the signal?

   ________________________________________________________________

## Evidence-bounded conclusion

The program is held/advanced at gate ___ because result ___ versus threshold ___; the next admissible work is ___, not ___.

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