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MEASUREMENT SCALE 4

Agent-Generated Research Certification (AGRC)

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What it measures. When an agent drafts the methods section, the results summary, or the lab record, you need certified evidence of what it got right, with the uncertainty stated, before a journal, a funder, or an auditor asks. This instrument measures the fidelity of agent-generated research outputs against certified reference procedures, on the text side reusing the adversarial-review and certification pipeline that already exists. It does not measure whether the underlying science is correct; it measures whether the agent's account of it holds up. Provisional: decision-use prohibited for high-stakes calls until promotion criteria are met.

All measurement scales · How it works · The Science

S1. Construct definition

Boundary. It does not measure whether the underlying science is correct; it measures whether the agent's account of it holds up.

Decision context. Would feed certification decisions for labs, journals, and funders facing agent-generated research outputs.

S2. The Rasch/PCM ruler

Not yet specified for calibration. The text side is designed to reuse the existing adversarial-review plus certification pipeline. This scale is in development. Read every figure from it as provisional, and do not use it to make a high-stakes decision. Calibration and a stated standard error will be published here when the scale is finished.

Measurement frame. No calibrated frame exists. Units and origin will be stated at calibration, on the same logit discipline as the other rulers.

S3. Stated SE per band

Every published measurement carries a stated standard error, stated per band, never as a single scale-wide average. Averages hide the floor.

No certified bands exist for this scale. A per-band SE table appears here only after a calibration wave is run and certified.

BandBand labelStandard errorCertification implication
--NO EVIDENCE Entire ruler No calibration wave has been run; there is no bank, no band structure, and no SE to state. Shown so the absence is on the record, not implied away.--Shown and flagged, never removed.

S4. Certification tier

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Watch: the skill is defined and not yet measured. Not for high-stakes calls.

Tier as of vintage 2026-09-01. Tier changes are events; the promotion rules for WATCH scales are stated in the canonical scale-priority record.

S5. Honest-uncertainty display

Rows that fail the floor or lack evidence are shown and flagged, never removed.

The flagged row below is the honest-uncertainty state of this scale: parked, no measurement exists.

The flagged rows render in the S3 table above with the shared .below-floor and .no-evidence classes, the same flagged treatment as the model-ratings readouts. Dropping a failing row is a defect class, not a style choice.

S6. API and usage detail

Status. None. WATCH scales expose no scoring endpoint.

No endpoint. The signature will be published before any scoring opens.

(none; scale is parked)
(none; scale is parked)

Per the promotion rules, no build, no spend, and no outreach occur while this scale is parked.

The full API reference lives on the docs surface when it is funded (IA spec section 4); until then this block is the usage detail of record.

S7. Scientific references

  1. List SCALE_PRIORITIZATION_2026-08-31 rank 4: three buyer classes (labs, journals, funders); text side reuses the existing adversarial-review plus certification pipeline.
  2. Source Paper-lens candidate P07, Co-Scientist in Real Labs (repo reports/plays/paper-lens-chain).