C.16:5.4 - Recover input quantities, output quantity, and uncertainty

M‑IO‑1. Name each actual input quantity used by the model, including indications, repeated observations, environmental or other influence quantities, reference values, calibration coefficients, and applied corrections when current. Name the exact output quantity whose value is attributed to the measurand. These are measurement-model roles, not a universal work input-output ontology.

M‑UNC‑1. State the uncertainty associated with the attributed value or values whenever it affects interpretation or use. Identify the contributing input uncertainties, correlations or covariance when relevant, propagation method, coverage or interval interpretation, and significant model inadequacy. An uncertainty number without its interpretation is not complete.

M‑UNC‑2. Propagation follows the declared measurement model. Linearized propagation, sampling, interval, set-valued, or another method is admissible only under its own assumptions. Combining provenance pointers is not uncertainty propagation, and more cited grounds do not monotonically guarantee lower uncertainty.