{
  "schema": "semiagora.variability-metrology-uq.v1",
  "version": "2026-09-05-v136",
  "workUnitId": "SA-MET-VARIABILITY-UQ-068",
  "generatedDate": "2026-09-05",
  "evidenceClass": "illustrative-original-surrogate",
  "uncertaintyClasses": [
    "ALEATORIC",
    "EPISTEMIC",
    "MEASUREMENT",
    "MODEL"
  ],
  "evaluationMethods": [
    "TYPE_A",
    "TYPE_B"
  ],
  "taxonomyNote": "Evaluation method and uncertainty class are orthogonal fields.",
  "counts": {
    "cases": 8,
    "components": 32,
    "uncertaintyClasses": 4,
    "budgetFixtures": 8,
    "spectrumFixtures": 3,
    "apertureFixtures": 3,
    "samplingFixtures": 3,
    "hierarchyFixtures": 1,
    "refusalFixtures": 8,
    "acceptanceFixtures": 26
  },
  "cases": [
    {
      "id": "ler-bandwidth",
      "title": "LER/LWR extraction bandwidth",
      "domain": "Patterning",
      "question": "Which uncertainty component changes the interpretation before this result can support a next measurement or simulation?",
      "quantity": "edge-position residual",
      "unit": "nm",
      "grain": "detrended edge-trace segment",
      "denominator": "per 256 nm trace",
      "sourceArtifactIds": [
        "lerLwr"
      ],
      "components": [
        {
          "id": "aleatoric",
          "label": "source-to-source stochastic spread",
          "uncertaintyClass": "ALEATORIC",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.36,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 63,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "edge-position residual",
          "unit": "nm",
          "grain": "detrended edge-trace segment",
          "denominator": "per 256 nm trace"
        },
        {
          "id": "epistemic",
          "label": "bounded missing-knowledge allowance",
          "uncertaintyClass": "EPISTEMIC",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.12,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "edge-position residual",
          "unit": "nm",
          "grain": "detrended edge-trace segment",
          "denominator": "per 256 nm trace"
        },
        {
          "id": "measurement",
          "label": "repeatability and aperture contribution",
          "uncertaintyClass": "MEASUREMENT",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.18,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 31,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "edge-position residual",
          "unit": "nm",
          "grain": "detrended edge-trace segment",
          "denominator": "per 256 nm trace"
        },
        {
          "id": "model",
          "label": "surrogate-form discrepancy allowance",
          "uncertaintyClass": "MODEL",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.1,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "edge-position residual",
          "unit": "nm",
          "grain": "detrended edge-trace segment",
          "denominator": "per 256 nm trace"
        }
      ],
      "correlationPairs": [
        {
          "left": "measurement",
          "right": "model",
          "rho": 0.15
        }
      ],
      "expectedBudget": {
        "diagonalVariance": 0.1864,
        "covarianceContribution": 0.0054,
        "combinedVariance": 0.1918,
        "combinedStandardUncertainty": 0.437949768809,
        "effectiveDegreesOfFreedom": 122.43275457595,
        "expandedTeachingIntervalK2": 0.875899537618,
        "coverageFactor": 2,
        "coverageClaim": "TEACHING_INTERVAL_ONLY"
      }
    },
    {
      "id": "psd-correlation",
      "title": "PSD and correlation length",
      "domain": "Patterning",
      "question": "Which uncertainty component changes the interpretation before this result can support a next measurement or simulation?",
      "quantity": "visible roughness variance fraction",
      "unit": "fraction",
      "grain": "one synthetic spectrum",
      "denominator": "per locked frequency band",
      "sourceArtifactIds": [
        "lerLwr"
      ],
      "components": [
        {
          "id": "aleatoric",
          "label": "source-to-source stochastic spread",
          "uncertaintyClass": "ALEATORIC",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.035,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 63,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "visible roughness variance fraction",
          "unit": "fraction",
          "grain": "one synthetic spectrum",
          "denominator": "per locked frequency band"
        },
        {
          "id": "epistemic",
          "label": "bounded missing-knowledge allowance",
          "uncertaintyClass": "EPISTEMIC",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.025,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "visible roughness variance fraction",
          "unit": "fraction",
          "grain": "one synthetic spectrum",
          "denominator": "per locked frequency band"
        },
        {
          "id": "measurement",
          "label": "repeatability and aperture contribution",
          "uncertaintyClass": "MEASUREMENT",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.018,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 31,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "visible roughness variance fraction",
          "unit": "fraction",
          "grain": "one synthetic spectrum",
          "denominator": "per locked frequency band"
        },
        {
          "id": "model",
          "label": "surrogate-form discrepancy allowance",
          "uncertaintyClass": "MODEL",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.03,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "visible roughness variance fraction",
          "unit": "fraction",
          "grain": "one synthetic spectrum",
          "denominator": "per locked frequency band"
        }
      ],
      "correlationPairs": [
        {
          "left": "measurement",
          "right": "model",
          "rho": 0.15
        }
      ],
      "expectedBudget": {
        "diagonalVariance": 0.003074,
        "covarianceContribution": 0.000162,
        "combinedVariance": 0.003236,
        "combinedStandardUncertainty": 0.056885850613,
        "effectiveDegreesOfFreedom": 384.907214354325,
        "expandedTeachingIntervalK2": 0.113771701227,
        "coverageFactor": 2,
        "coverageClaim": "TEACHING_INTERVAL_ONLY"
      }
    },
    {
      "id": "sampling-uncertainty",
      "title": "Finite-sample sigma uncertainty",
      "domain": "Metrology",
      "question": "Which uncertainty component changes the interpretation before this result can support a next measurement or simulation?",
      "quantity": "standard uncertainty of sample sigma",
      "unit": "nm",
      "grain": "one repeated trace sample",
      "denominator": "per 64 observations",
      "sourceArtifactIds": [
        "lerLwr",
        "sramVariation"
      ],
      "components": [
        {
          "id": "aleatoric",
          "label": "source-to-source stochastic spread",
          "uncertaintyClass": "ALEATORIC",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.1,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 63,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "standard uncertainty of sample sigma",
          "unit": "nm",
          "grain": "one repeated trace sample",
          "denominator": "per 64 observations"
        },
        {
          "id": "epistemic",
          "label": "bounded missing-knowledge allowance",
          "uncertaintyClass": "EPISTEMIC",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.08,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "standard uncertainty of sample sigma",
          "unit": "nm",
          "grain": "one repeated trace sample",
          "denominator": "per 64 observations"
        },
        {
          "id": "measurement",
          "label": "repeatability and aperture contribution",
          "uncertaintyClass": "MEASUREMENT",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.06,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 31,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "standard uncertainty of sample sigma",
          "unit": "nm",
          "grain": "one repeated trace sample",
          "denominator": "per 64 observations"
        },
        {
          "id": "model",
          "label": "surrogate-form discrepancy allowance",
          "uncertaintyClass": "MODEL",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.07,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "standard uncertainty of sample sigma",
          "unit": "nm",
          "grain": "one repeated trace sample",
          "denominator": "per 64 observations"
        }
      ],
      "correlationPairs": [
        {
          "left": "measurement",
          "right": "model",
          "rho": 0.15
        }
      ],
      "expectedBudget": {
        "diagonalVariance": 0.0249,
        "covarianceContribution": 0.00126,
        "combinedVariance": 0.02616,
        "combinedStandardUncertainty": 0.161740532953,
        "effectiveDegreesOfFreedom": 341.257189312852,
        "expandedTeachingIntervalK2": 0.323481065906,
        "coverageFactor": 2,
        "coverageClaim": "TEACHING_INTERVAL_ONLY"
      }
    },
    {
      "id": "measurement-aperture",
      "title": "Measurement aperture filtering",
      "domain": "Metrology",
      "question": "Which uncertainty component changes the interpretation before this result can support a next measurement or simulation?",
      "quantity": "local-CD spread",
      "unit": "nm",
      "grain": "one aperture-filtered trace",
      "denominator": "per 256 nm trace",
      "sourceArtifactIds": [
        "lerLwr",
        "inspectionManifest"
      ],
      "components": [
        {
          "id": "aleatoric",
          "label": "source-to-source stochastic spread",
          "uncertaintyClass": "ALEATORIC",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.24,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 63,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "local-CD spread",
          "unit": "nm",
          "grain": "one aperture-filtered trace",
          "denominator": "per 256 nm trace"
        },
        {
          "id": "epistemic",
          "label": "bounded missing-knowledge allowance",
          "uncertaintyClass": "EPISTEMIC",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.11,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "local-CD spread",
          "unit": "nm",
          "grain": "one aperture-filtered trace",
          "denominator": "per 256 nm trace"
        },
        {
          "id": "measurement",
          "label": "repeatability and aperture contribution",
          "uncertaintyClass": "MEASUREMENT",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.2,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 31,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "local-CD spread",
          "unit": "nm",
          "grain": "one aperture-filtered trace",
          "denominator": "per 256 nm trace"
        },
        {
          "id": "model",
          "label": "surrogate-form discrepancy allowance",
          "uncertaintyClass": "MODEL",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.13,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "local-CD spread",
          "unit": "nm",
          "grain": "one aperture-filtered trace",
          "denominator": "per 256 nm trace"
        }
      ],
      "correlationPairs": [
        {
          "left": "measurement",
          "right": "model",
          "rho": 0.15
        }
      ],
      "expectedBudget": {
        "diagonalVariance": 0.1266,
        "covarianceContribution": 0.0078,
        "combinedVariance": 0.1344,
        "combinedStandardUncertainty": 0.366606055596,
        "effectiveDegreesOfFreedom": 173.226835614889,
        "expandedTeachingIntervalK2": 0.733212111193,
        "coverageFactor": 2,
        "coverageClaim": "TEACHING_INTERVAL_ONLY"
      }
    },
    {
      "id": "hierarchical-variation",
      "title": "Hierarchical lot-to-replicate variation",
      "domain": "Memory",
      "question": "Which uncertainty component changes the interpretation before this result can support a next measurement or simulation?",
      "quantity": "read-margin variation",
      "unit": "mV",
      "grain": "one cell-condition observation",
      "denominator": "per fixed condition",
      "sourceArtifactIds": [
        "sramVariation"
      ],
      "components": [
        {
          "id": "aleatoric",
          "label": "source-to-source stochastic spread",
          "uncertaintyClass": "ALEATORIC",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 3.2,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 63,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "read-margin variation",
          "unit": "mV",
          "grain": "one cell-condition observation",
          "denominator": "per fixed condition"
        },
        {
          "id": "epistemic",
          "label": "bounded missing-knowledge allowance",
          "uncertaintyClass": "EPISTEMIC",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 1.8,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "read-margin variation",
          "unit": "mV",
          "grain": "one cell-condition observation",
          "denominator": "per fixed condition"
        },
        {
          "id": "measurement",
          "label": "repeatability and aperture contribution",
          "uncertaintyClass": "MEASUREMENT",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 1.4,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 31,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "read-margin variation",
          "unit": "mV",
          "grain": "one cell-condition observation",
          "denominator": "per fixed condition"
        },
        {
          "id": "model",
          "label": "surrogate-form discrepancy allowance",
          "uncertaintyClass": "MODEL",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 1.1,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "read-margin variation",
          "unit": "mV",
          "grain": "one cell-condition observation",
          "denominator": "per fixed condition"
        }
      ],
      "correlationPairs": [
        {
          "left": "measurement",
          "right": "model",
          "rho": 0.15
        }
      ],
      "expectedBudget": {
        "diagonalVariance": 16.65,
        "covarianceContribution": 0.462,
        "combinedVariance": 17.112,
        "combinedStandardUncertainty": 4.136665323663,
        "effectiveDegreesOfFreedom": 163.73975677076,
        "expandedTeachingIntervalK2": 8.273330647327,
        "coverageFactor": 2,
        "coverageClaim": "TEACHING_INTERVAL_ONLY"
      }
    },
    {
      "id": "plasma-etch-uq",
      "title": "Plasma-etch heteroscedastic uncertainty",
      "domain": "Process",
      "question": "Which uncertainty component changes the interpretation before this result can support a next measurement or simulation?",
      "quantity": "normalized profile-response uncertainty",
      "unit": "normalized fraction",
      "grain": "one synthetic condition row",
      "denominator": "per aspect-ratio and wafer-zone condition",
      "sourceArtifactIds": [
        "plasmaHeteroscedastic",
        "plasmaReplay",
        "plasmaProfile"
      ],
      "components": [
        {
          "id": "aleatoric",
          "label": "source-to-source stochastic spread",
          "uncertaintyClass": "ALEATORIC",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.0645,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 63,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "normalized profile-response uncertainty",
          "unit": "normalized fraction",
          "grain": "one synthetic condition row",
          "denominator": "per aspect-ratio and wafer-zone condition"
        },
        {
          "id": "epistemic",
          "label": "bounded missing-knowledge allowance",
          "uncertaintyClass": "EPISTEMIC",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.035,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "normalized profile-response uncertainty",
          "unit": "normalized fraction",
          "grain": "one synthetic condition row",
          "denominator": "per aspect-ratio and wafer-zone condition"
        },
        {
          "id": "measurement",
          "label": "repeatability and aperture contribution",
          "uncertaintyClass": "MEASUREMENT",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.022,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 31,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "normalized profile-response uncertainty",
          "unit": "normalized fraction",
          "grain": "one synthetic condition row",
          "denominator": "per aspect-ratio and wafer-zone condition"
        },
        {
          "id": "model",
          "label": "surrogate-form discrepancy allowance",
          "uncertaintyClass": "MODEL",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.04,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "normalized profile-response uncertainty",
          "unit": "normalized fraction",
          "grain": "one synthetic condition row",
          "denominator": "per aspect-ratio and wafer-zone condition"
        }
      ],
      "correlationPairs": [
        {
          "left": "measurement",
          "right": "model",
          "rho": 0.15
        }
      ],
      "expectedBudget": {
        "diagonalVariance": 0.00746925,
        "covarianceContribution": 0.000264,
        "combinedVariance": 0.00773325,
        "combinedStandardUncertainty": 0.087938899243,
        "effectiveDegreesOfFreedom": 211.856277457092,
        "expandedTeachingIntervalK2": 0.175877798485,
        "coverageFactor": 2,
        "coverageClaim": "TEACHING_INTERVAL_ONLY"
      }
    },
    {
      "id": "hybrid-bonding-metrology",
      "title": "Hybrid-bonding mechanical metrology",
      "domain": "Packaging",
      "question": "Which uncertainty component changes the interpretation before this result can support a next measurement or simulation?",
      "quantity": "surface-height uncertainty",
      "unit": "nm",
      "grain": "one AFM-like map summary",
      "denominator": "per mapped bonding-ready region",
      "sourceArtifactIds": [
        "hybridBonding",
        "bondingManifest"
      ],
      "components": [
        {
          "id": "aleatoric",
          "label": "source-to-source stochastic spread",
          "uncertaintyClass": "ALEATORIC",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.045,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 63,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "surface-height uncertainty",
          "unit": "nm",
          "grain": "one AFM-like map summary",
          "denominator": "per mapped bonding-ready region"
        },
        {
          "id": "epistemic",
          "label": "bounded missing-knowledge allowance",
          "uncertaintyClass": "EPISTEMIC",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.03,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "surface-height uncertainty",
          "unit": "nm",
          "grain": "one AFM-like map summary",
          "denominator": "per mapped bonding-ready region"
        },
        {
          "id": "measurement",
          "label": "repeatability and aperture contribution",
          "uncertaintyClass": "MEASUREMENT",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.033,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 31,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "surface-height uncertainty",
          "unit": "nm",
          "grain": "one AFM-like map summary",
          "denominator": "per mapped bonding-ready region"
        },
        {
          "id": "model",
          "label": "surrogate-form discrepancy allowance",
          "uncertaintyClass": "MODEL",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.04,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "surface-height uncertainty",
          "unit": "nm",
          "grain": "one AFM-like map summary",
          "denominator": "per mapped bonding-ready region"
        }
      ],
      "correlationPairs": [
        {
          "left": "measurement",
          "right": "model",
          "rho": 0.15
        }
      ],
      "expectedBudget": {
        "diagonalVariance": 0.005614,
        "covarianceContribution": 0.000396,
        "combinedVariance": 0.00601,
        "combinedStandardUncertainty": 0.077524189773,
        "effectiveDegreesOfFreedom": 349.510564205852,
        "expandedTeachingIntervalK2": 0.155048379547,
        "coverageFactor": 2,
        "coverageClaim": "TEACHING_INTERVAL_ONLY"
      }
    },
    {
      "id": "gauge-rr",
      "title": "Gauge R&R and measurement-system separation",
      "domain": "Metrology",
      "question": "Which uncertainty component changes the interpretation before this result can support a next measurement or simulation?",
      "quantity": "measurement-system variation",
      "unit": "normalized fraction",
      "grain": "one crossed study result",
      "denominator": "per declared study design",
      "sourceArtifactIds": [
        "gaugeRr",
        "virtualMetrology"
      ],
      "components": [
        {
          "id": "aleatoric",
          "label": "source-to-source stochastic spread",
          "uncertaintyClass": "ALEATORIC",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.055,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 63,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "measurement-system variation",
          "unit": "normalized fraction",
          "grain": "one crossed study result",
          "denominator": "per declared study design"
        },
        {
          "id": "epistemic",
          "label": "bounded missing-knowledge allowance",
          "uncertaintyClass": "EPISTEMIC",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.025,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
          "distribution": "RECTANGULAR_INTERPRETED_AS_STANDARD",
          "quantity": "measurement-system variation",
          "unit": "normalized fraction",
          "grain": "one crossed study result",
          "denominator": "per declared study design"
        },
        {
          "id": "measurement",
          "label": "repeatability and aperture contribution",
          "uncertaintyClass": "MEASUREMENT",
          "evaluationMethod": "TYPE_A",
          "standardUncertainty": 0.04,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": 31,
          "distribution": "NORMAL_APPROXIMATION",
          "quantity": "measurement-system variation",
          "unit": "normalized fraction",
          "grain": "one crossed study result",
          "denominator": "per declared study design"
        },
        {
          "id": "model",
          "label": "surrogate-form discrepancy allowance",
          "uncertaintyClass": "MODEL",
          "evaluationMethod": "TYPE_B",
          "standardUncertainty": 0.03,
          "sensitivityCoefficient": 1,
          "degreesOfFreedom": "INFINITE",
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