{
  "meta": {
    "run": "M1",
    "name": "Challenge Vocabulary Run",
    "generated": "2026-08-11T13:27:51.478Z",
    "outputDir": "/vocab/challenge",
    "inputs": [
      "MIS",
      "AIC",
      "CLM",
      "DCE"
    ],
    "flags": {
      "polarity": "dormant",
      "rodSets": "dormant",
      "adiLayers": "off"
    },
    "counts": {
      "segments": 20,
      "terms": 337,
      "sharedTerms": 25,
      "domains": 4
    }
  },
  "domains": [
    {
      "domain": "Misinformation",
      "challenge": "MIS",
      "name": "Misinformation",
      "summary": "Semantic drift, framing pressure, and synthetic amplification erode shared meaning across time.",
      "termCount": 93,
      "sharedTermCount": 11,
      "topTerms": [
        "measurement",
        "amplification",
        "claim",
        "provenance",
        "circulation",
        "credibility",
        "surface",
        "claims",
        "correction",
        "drift",
        "fact-checking",
        "framing"
      ]
    },
    {
      "domain": "AI Credibility",
      "challenge": "AIC",
      "name": "AI Credibility",
      "summary": "Hallucination, bias, calibration gaps, and adversarial fragility limit trust in generative systems.",
      "termCount": 90,
      "sharedTermCount": 11,
      "topTerms": [
        "measurement",
        "provenance",
        "benchmark",
        "credibility",
        "evidence",
        "model",
        "system",
        "training",
        "behaviour",
        "calibration",
        "capability",
        "claims"
      ]
    },
    {
      "domain": "Climate",
      "challenge": "CLM",
      "name": "Climate Change",
      "summary": "Warming, cryosphere loss, hydrological extremes, and mitigation pathways under measurable planetary constraints.",
      "termCount": 93,
      "sharedTermCount": 16,
      "topTerms": [
        "carbon",
        "water",
        "forcing",
        "measurement",
        "emissions",
        "temperature",
        "balance",
        "circulation",
        "surface",
        "time",
        "atmospheric",
        "behaviour"
      ]
    },
    {
      "domain": "Data Centres",
      "challenge": "DCE",
      "name": "Data Centres & Energy Efficiency",
      "summary": "Compute demand, cooling, water use, and grid carbon intensity determine the physical cost of digital infrastructure.",
      "termCount": 88,
      "sharedTermCount": 14,
      "topTerms": [
        "carbon",
        "water",
        "grid",
        "measurement",
        "effectiveness",
        "emissions",
        "power",
        "temperature",
        "usage",
        "usage effectiveness",
        "carbon intensity",
        "cooling"
      ]
    }
  ]
}