{
  "handle": "UncertaintyMap",
  "mechanism": "Known-Unknown Matrix: Categorize all relevant factors into: Known-Known (facts), Known-Unknown (questions), Unknown-Unknown (blind spots). For each Known-Unknown, estimate cost to resolve. {{prioritize}} high-impact uncertainties. Actively {{probe}} for Unknown-Unknowns. Utilizes {{prioritize}}, {{confidence_calibrate}}.",
  "gloss": "Systematic categorization of ignorance",
  "failure_modes": [
    "False Precision: Treating a Known-Unknown (risk) as a Known-Known (fact) with a wide error bar."
  ],
  "invariants": [
    "Every factor must be categorized exactly once."
  ],
  "_meta": {
    "tier": 2,
    "ring": 2,
    "supersedes": [
      "sema:UncertaintyMap#mh:SHA-256:33e1f0a76ec4b9d332cea0410d83f36c9278438b64785f7093ce5e2698c493d7",
      "sema:UncertaintyMap#mh:SHA-256:942cea71810d05d014de70e85cd6ef591b81424bdba2b6ade8866f5ed440caeb",
      "sema:UncertaintyMap#mh:SHA-256:de94012e6d7809235bbfb7577aac4539da30c73194a41950bff8d3cec86c006a",
      "sema:UncertaintyMap#mh:SHA-256:e2e9719f984c90e85fa6f4f0108fa339f89ba919b60c99bfdcbfa2e6ac42df06",
      "sema:UncertaintyMap#mh:SHA-256:0605f4760804087daadb31c71b5df6354b1a6d2a5440b8ed4c6416494ab77e71"
    ],
    "path": [
      "Mind",
      "Strategy"
    ]
  },
  "sema_id": "sema:UncertaintyMap#mh:SHA-256:c412e49c71a44e86aba623c9487e9d4d589d863ff0c76391c45f8f7d26e08a9e",
  "sema_ref": "UncertaintyMap#c412",
  "sema_stub": "c412",
  "dependencies": {
    "references": {
      "confidence_calibrate": "sema:ConfidenceCalibrate#mh:SHA-256:e3570290d420b5bf59848ccc1d269530bbb3124b2e1a4583e62dc2a901ab16ac",
      "prioritize": "sema:Prioritize#mh:SHA-256:99f0603f8984f4c94d02384248966603cf86d9ccf95ea62a7c481c3eccb694fd",
      "probe": "sema:Probe#mh:SHA-256:2bb8a26d43ba0b1975fe2ce4051cfb219a9507140f12e72b819265f4ef98f224"
    }
  },
  "sema_layer": "Mind",
  "sema_category": "Strategy",
  "used_by": {
    "references": {
      "Uncertain": "sema:Uncertain#mh:SHA-256:91b56e39fe4ccec7c6c80c865e8f679178293e85ec208eaceb9c814a9ca4bd53"
    }
  }
}