{
  "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
    }
  },
  "segments": [
    {
      "segment": "MIS.definition",
      "challenge": "MIS",
      "label": "Definition",
      "role": "definition",
      "tokens": 47,
      "characters": 341,
      "terms": [
        "amplification",
        "claim",
        "provenance",
        "circulation",
        "claims",
        "framing",
        "property",
        "temporal",
        "veracity",
        "accurate",
        "degraded",
        "deliberate",
        "disinformation",
        "engineered",
        "fixed",
        "label",
        "later",
        "literally",
        "meaning",
        "misinformation",
        "misleading",
        "publication",
        "therefore",
        "time-dependent",
        "validity",
        "variant"
      ],
      "text": "Misinformation is the circulation of claims whose meaning, provenance, or temporal validity has degraded. A claim may be literally accurate at publication and misleading later; veracity is therefore a time-dependent property rather than a fixed label. Disinformation is the deliberate variant, where framing and amplification are engineered."
    },
    {
      "segment": "MIS.mechanism",
      "challenge": "MIS",
      "label": "Mechanism",
      "role": "mechanism",
      "tokens": 44,
      "characters": 317,
      "terms": [
        "amplification",
        "claim",
        "surface",
        "correction",
        "drift",
        "framing",
        "velocity",
        "verification",
        "asymmetry",
        "away",
        "constant",
        "dimension",
        "event",
        "faster",
        "foregrounded",
        "media",
        "moves",
        "multiply",
        "networks",
        "original",
        "producing",
        "reach",
        "referent",
        "selects",
        "semantic",
        "stays",
        "synthetic",
        "term",
        "wording"
      ],
      "text": "Semantic drift moves a term away from its original referent while the surface wording stays constant. Framing selects which dimension of an event is foregrounded. Amplification networks and synthetic media multiply reach faster than correction, producing an asymmetry between claim velocity and verification velocity."
    },
    {
      "segment": "MIS.measurement",
      "challenge": "MIS",
      "label": "Measurement",
      "role": "measurement",
      "tokens": 27,
      "characters": 229,
      "terms": [
        "measurement",
        "claim",
        "provenance",
        "credibility",
        "drift",
        "fact-checking",
        "source",
        "temporal",
        "veracity",
        "depth",
        "formulations",
        "independent",
        "integrity",
        "magnitude",
        "narrative",
        "restatements",
        "scope",
        "successive"
      ],
      "text": "Measurement covers veracity under independent fact-checking, source credibility and provenance depth, temporal integrity across restatements, narrative scope, and drift magnitude between successive formulations of the same claim."
    },
    {
      "segment": "MIS.evidence",
      "challenge": "MIS",
      "label": "Evidence base",
      "role": "evidence",
      "tokens": 29,
      "characters": 234,
      "terms": [
        "amplification",
        "claim",
        "provenance",
        "fact-checking",
        "record",
        "records",
        "registers",
        "source",
        "supply",
        "verification",
        "archives",
        "chains",
        "identity",
        "logs",
        "longitudinal",
        "observable",
        "platform",
        "retraction",
        "timestamp",
        "verdict"
      ],
      "text": "Fact-checking archives, provenance chains, retraction records, platform amplification logs, and longitudinal claim registers supply the observable record. Each record carries a timestamp, a source identity, and a verification verdict."
    },
    {
      "segment": "MIS.consequence",
      "challenge": "MIS",
      "label": "Consequence",
      "role": "consequence",
      "tokens": 24,
      "characters": 185,
      "terms": [
        "amplification",
        "correction",
        "public",
        "audiences",
        "common",
        "different",
        "fragments",
        "incompatible",
        "lags",
        "loses",
        "meanings",
        "measuring",
        "reasoning",
        "shared",
        "vocabulary",
        "word"
      ],
      "text": "Where correction lags amplification, shared vocabulary fragments: the same word carries incompatible meanings for different audiences, and public reasoning loses a common measuring rod."
    },
    {
      "segment": "AIC.definition",
      "challenge": "AIC",
      "label": "Definition",
      "role": "definition",
      "tokens": 42,
      "characters": 257,
      "terms": [
        "credibility",
        "model",
        "system",
        "behaviour",
        "accuracy",
        "alone",
        "confidence",
        "confidently",
        "credible",
        "degree",
        "factual",
        "moments",
        "output",
        "relied",
        "right",
        "stated",
        "stress",
        "unpredictable",
        "wrong"
      ],
      "text": "AI credibility is the degree to which a model's stated confidence, factual output, and behaviour under stress can be relied upon. Credibility is not accuracy alone: a system that is often right but confidently wrong at unpredictable moments is not credible."
    },
    {
      "segment": "AIC.mechanism",
      "challenge": "AIC",
      "label": "Mechanism",
      "role": "mechanism",
      "tokens": 38,
      "characters": 343,
      "terms": [
        "benchmark",
        "evidence",
        "training",
        "capability",
        "distribution",
        "adversarial",
        "annotation",
        "apparent",
        "appears",
        "arises",
        "bias",
        "boundaries",
        "brittle",
        "contamination",
        "decision",
        "diverges",
        "enters",
        "exploit",
        "frequency",
        "generation",
        "hallucination",
        "inflates",
        "inputs",
        "miscalibration",
        "observed",
        "practice",
        "predicted",
        "probability",
        "retrievable",
        "unconstrained"
      ],
      "text": "Hallucination arises when generation is unconstrained by retrievable evidence. Miscalibration appears when predicted probability diverges from observed frequency. Bias enters through training distribution and annotation practice. Adversarial inputs exploit brittle decision boundaries, and benchmark contamination inflates apparent capability."
    },
    {
      "segment": "AIC.measurement",
      "challenge": "AIC",
      "label": "Measurement",
      "role": "measurement",
      "tokens": 24,
      "characters": 209,
      "terms": [
        "measurement",
        "provenance",
        "benchmark",
        "evidence",
        "training",
        "calibration",
        "corpus",
        "error",
        "factuality",
        "fairness",
        "grounded",
        "perturbation",
        "robustness",
        "stability",
        "subgroups",
        "versions"
      ],
      "text": "Measurement covers factuality against grounded evidence, calibration error, benchmark stability across versions, robustness under perturbation, fairness across subgroups, and provenance of the training corpus."
    },
    {
      "segment": "AIC.evidence",
      "challenge": "AIC",
      "label": "Evidence base",
      "role": "evidence",
      "tokens": 33,
      "characters": 236,
      "terms": [
        "benchmark",
        "evidence",
        "model",
        "calibration",
        "public",
        "registers",
        "base",
        "cards",
        "comparable",
        "curves",
        "date",
        "evaluation",
        "form",
        "incident",
        "prompt",
        "protocol",
        "red-team",
        "reproducible",
        "runs",
        "score",
        "suites",
        "transcripts",
        "version"
      ],
      "text": "Public evaluation suites, calibration curves, red-team transcripts, model cards, incident registers, and reproducible benchmark runs form the evidence base. Every score requires a version, a date, and a prompt protocol to be comparable."
    },
    {
      "segment": "AIC.consequence",
      "challenge": "AIC",
      "label": "Consequence",
      "role": "consequence",
      "tokens": 17,
      "characters": 144,
      "terms": [
        "measurement",
        "model",
        "capability",
        "claims",
        "systems",
        "downstream",
        "inherit",
        "layer",
        "stable",
        "uncertainty",
        "unfalsifiable",
        "unquantified"
      ],
      "text": "Without stable measurement, capability claims are unfalsifiable, and downstream systems inherit unquantified uncertainty from their model layer."
    },
    {
      "segment": "CLM.definition",
      "challenge": "CLM",
      "label": "Definition",
      "role": "definition",
      "tokens": 37,
      "characters": 251,
      "terms": [
        "forcing",
        "balance",
        "change",
        "distribution",
        "energy",
        "shift",
        "anomalies",
        "baseline",
        "climate",
        "decades",
        "defined",
        "driven",
        "events",
        "expressed",
        "greenhouse",
        "planetary",
        "principally",
        "reference",
        "statistical",
        "sustained",
        "weather"
      ],
      "text": "Climate change is a sustained shift in the statistical distribution of the planetary energy balance, driven principally by greenhouse gas forcing. It is defined over decades, not weather events, and expressed as anomalies against a reference baseline."
    },
    {
      "segment": "CLM.mechanism",
      "challenge": "CLM",
      "label": "Mechanism",
      "role": "mechanism",
      "tokens": 38,
      "characters": 298,
      "terms": [
        "carbon",
        "water",
        "forcing",
        "temperature",
        "circulation",
        "surface",
        "behaviour",
        "heat",
        "ocean",
        "radiative",
        "radiative forcing",
        "surface temperature",
        "systems",
        "acidifying",
        "amplify",
        "buffers",
        "cryosphere",
        "dioxide",
        "feedbacks",
        "ice-albedo",
        "initial",
        "introduce",
        "methane",
        "nitrous",
        "oxide",
        "permafrost",
        "raise",
        "tipping",
        "uptake",
        "vapour"
      ],
      "text": "Carbon dioxide, methane, and nitrous oxide raise radiative forcing. Ocean heat uptake buffers surface temperature while acidifying water. Feedbacks — ice-albedo, permafrost carbon, water vapour — amplify the initial forcing and introduce tipping behaviour in the cryosphere and circulation systems."
    },
    {
      "segment": "CLM.measurement",
      "challenge": "CLM",
      "label": "Measurement",
      "role": "measurement",
      "tokens": 24,
      "characters": 208,
      "terms": [
        "carbon",
        "forcing",
        "measurement",
        "emissions",
        "temperature",
        "balance",
        "surface",
        "atmospheric",
        "mass",
        "mass balance",
        "radiative",
        "radiative forcing",
        "surface temperature",
        "anomaly",
        "budgets",
        "compliance",
        "concentration",
        "extremes",
        "level",
        "pathway",
        "precipitation",
        "rise"
      ],
      "text": "Measurement covers surface temperature anomaly, atmospheric concentration, radiative forcing, sea level rise, ice mass balance, precipitation extremes, and emissions pathway compliance against carbon budgets."
    },
    {
      "segment": "CLM.evidence",
      "challenge": "CLM",
      "label": "Evidence base",
      "role": "evidence",
      "tokens": 22,
      "characters": 211,
      "terms": [
        "emissions",
        "temperature",
        "balance",
        "time",
        "atmospheric",
        "mass",
        "mass balance",
        "records",
        "series",
        "altimetry",
        "assessed",
        "gravimetric",
        "ice-core",
        "instrumental",
        "inventories",
        "long",
        "monitoring",
        "provide",
        "reconstructions",
        "satellite",
        "stations",
        "versioned"
      ],
      "text": "Instrumental temperature records, satellite altimetry, ice-core reconstructions, gravimetric mass balance, atmospheric monitoring stations, and assessed emissions inventories provide long, versioned time series."
    },
    {
      "segment": "CLM.consequence",
      "challenge": "CLM",
      "label": "Consequence",
      "role": "consequence",
      "tokens": 27,
      "characters": 200,
      "terms": [
        "forcing",
        "circulation",
        "change",
        "ocean",
        "caused",
        "commitment",
        "converts",
        "ecosystem",
        "effects",
        "exceeding",
        "gradual",
        "persist",
        "sheets",
        "state",
        "thresholds",
        "transitions",
        "viability"
      ],
      "text": "Exceeding thresholds converts gradual change into state transitions in ice sheets, ocean circulation, and ecosystem viability, with commitment effects that persist beyond the forcing that caused them."
    },
    {
      "segment": "DCE.definition",
      "challenge": "DCE",
      "label": "Definition",
      "role": "definition",
      "tokens": 33,
      "characters": 222,
      "terms": [
        "carbon",
        "water",
        "grid",
        "cooling",
        "system",
        "efficiency",
        "energy",
        "property",
        "building",
        "centre",
        "computational",
        "consumed",
        "data",
        "deliver",
        "delivered",
        "ratio",
        "silicon",
        "spanning",
        "total",
        "useful",
        "work"
      ],
      "text": "Data centre efficiency is the ratio between useful computational work delivered and the total energy, water, and carbon consumed to deliver it. Efficiency is a system property spanning silicon, cooling, building, and grid."
    },
    {
      "segment": "DCE.mechanism",
      "challenge": "DCE",
      "label": "Mechanism",
      "role": "mechanism",
      "tokens": 43,
      "characters": 319,
      "terms": [
        "carbon",
        "grid",
        "effectiveness",
        "emissions",
        "power",
        "usage",
        "usage effectiveness",
        "carbon intensity",
        "cooling",
        "grid carbon",
        "intensity",
        "training",
        "density",
        "facility",
        "overhead",
        "power usage",
        "rack",
        "shift",
        "above",
        "attached",
        "captures",
        "demand",
        "design",
        "determines",
        "drives",
        "immersion",
        "inference",
        "kilowatt-hour",
        "liquid",
        "load",
        "profiles",
        "pushing",
        "sites",
        "thermal",
        "towards",
        "workloads"
      ],
      "text": "Power usage effectiveness captures facility overhead above IT load. Rack power density drives thermal design, pushing sites from air cooling towards liquid and immersion cooling. Training and inference workloads shift demand profiles, while grid carbon intensity determines the emissions attached to each kilowatt-hour."
    },
    {
      "segment": "DCE.measurement",
      "challenge": "DCE",
      "label": "Measurement",
      "role": "measurement",
      "tokens": 28,
      "characters": 216,
      "terms": [
        "carbon",
        "water",
        "grid",
        "measurement",
        "effectiveness",
        "power",
        "temperature",
        "usage",
        "usage effectiveness",
        "carbon intensity",
        "grid carbon",
        "intensity",
        "time",
        "density",
        "power usage",
        "rack",
        "delta",
        "inlet",
        "marginal",
        "utilisation",
        "workload"
      ],
      "text": "Measurement covers power usage effectiveness, water usage effectiveness, carbon usage effectiveness, rack density, inlet and delta temperature, workload utilisation, and marginal grid carbon intensity at time of use."
    },
    {
      "segment": "DCE.evidence",
      "challenge": "DCE",
      "label": "Evidence base",
      "role": "evidence",
      "tokens": 26,
      "characters": 209,
      "terms": [
        "carbon",
        "water",
        "grid",
        "power",
        "carbon intensity",
        "grid carbon",
        "intensity",
        "time",
        "facility",
        "series",
        "supply",
        "water withdrawal",
        "withdrawal",
        "accelerator",
        "benchmarks",
        "disclosures",
        "draw",
        "feeds",
        "location",
        "measurable",
        "metered",
        "operator",
        "regional",
        "reporting",
        "stamps",
        "telemetry"
      ],
      "text": "Operator disclosures, metered facility telemetry, grid carbon intensity feeds, accelerator power draw benchmarks, and regional water withdrawal reporting supply measurable series with location and time stamps."
    },
    {
      "segment": "DCE.consequence",
      "challenge": "DCE",
      "label": "Consequence",
      "role": "consequence",
      "tokens": 23,
      "characters": 148,
      "terms": [
        "water",
        "grid",
        "emissions",
        "system",
        "heat",
        "overhead",
        "water withdrawal",
        "withdrawal",
        "cost",
        "least",
        "move",
        "part",
        "relocates",
        "removing",
        "unmeasured",
        "visible"
      ],
      "text": "Unmeasured overhead relocates cost rather than removing it: heat, water withdrawal, and grid emissions move to the least visible part of the system."
    }
  ]
}