{
  "annotation_id": "57435322-f606-45b4-b2eb-31514fde2ec1",
  "date_created": "2026-03-02T18:01:18.575000Z",
  "date_modified": "2026-03-02T18:01:18.575000Z",
  "file_hash": "f777610f18ab2dba00249ed7fc4d80333c3d9f3fb37b7878dc8e8592e952ab5e",
  "private": false,
  "record": {
    "abstract": "A theory of measurement uncertainty is presented, which, since it is based\nexclusively on the Bayesian approach and on the subjective concept of\nconditional probability, is applicable in the most general cases.\n  The recent International Organization for Standardization (ISO)\nrecommendation on measurement uncertainty is reobtained as the limit case in\nwhich linearization is meaningful and one is interested only in the best\nestimates of the quantities and in their variances.",
    "arxiv_id": "physics/9611016",
    "authors": [
      "G. D\u0027Agostini"
    ],
    "categories": [
      "physics.data-an",
      "astro-ph",
      "bayes-an",
      "hep-ph",
      "nucl-ex"
    ],
    "title": "A Theory of Measurement Uncertainty Based on Conditional Probability",
    "url": "https://arxiv.org/abs/physics/9611016"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "adc202ab-c6d1-4283-93ab-ca1ea985f3d4",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}