{
  "schemaVersion": 1,
  "namespace": "appstore2031/storefront/v2",
  "editionId": "2031-2026-08-02",
  "candidateId": "category-001-candidate-04",
  "canonicalCandidateSha256": "2b3a52a0a88f36affb1314e951d23e235a9ce45350e73f490b19dec7e9f047ce",
  "fictionalDisclosure": true,
  "fiction": {
    "name": "CareDividend",
    "developerName": "Repair Dividend Trust",
    "iconAsset": "/storefront/v2/icons/category-001-candidate-04.svg",
    "iconTheme": {
      "motif": "A distinct geometric mark derived from the fictional name.",
      "palette": "High-contrast spectral gradient.",
      "shapeLanguage": "Rounded app-store tile with a clear lettermark.",
      "accessibilityNote": "The name remains visible beside the icon; colour is not the only identifier."
    },
    "storeDescription": "CareDividend makes automation savings reversible. Before a service removes major blocks of human work, an agreed share of the saving enters a protected repair account. Independent measures watch response times, continuity, staffing, failed handoffs and results for different groups. If those measures fall, CareDividend releases money for qualified staff, local contact and manageable caseloads—or pauses the automated route. The operator cannot mark its own homework, and unused funds remain dedicated to human service capacity.",
    "rating": 4.5,
    "ratingLabel": "imagined 2031 rating",
    "reviews": [
      {
        "reviewerAlias": "CareLeadM",
        "title": "Savings became staffed hours",
        "body": "When missed visits rose, the covenant released funding for four local coordinators instead of buying another engagement system. Families noticed the difference.",
        "stars": 5,
        "stance": "benefit",
        "fictionalDisclosure": true
      },
      {
        "reviewerAlias": "NumbersBeforeNoise",
        "title": "The baseline argument took months",
        "body": "CareDividend eventually funded help, but the provider challenged which savings counted and delayed the trigger far too long.",
        "stars": 3,
        "stance": "critical",
        "fictionalDisclosure": true
      }
    ]
  },
  "category": {
    "id": "category-001",
    "name": "Qualified Human Help and Service Repair",
    "plainLanguageDefinition": "Gets a serious case to a qualified person who can act, then repairs staffing and caseloads so human help stays reachable over time. It records what the machine did, who can pause or correct it, and whether real service results improve.",
    "recurringBrowsePurpose": "An affected person or frontline worker needing a qualified human response, or a service leader, commissioner, worker body or public body responsible for restoring enough staff to finish cases safely.",
    "completion": {
      "trigger": "A consequential case lacks a qualified human owner, or evidence shows that an automated front door has reduced staffing, human contact, response, continuity or completed outcomes.",
      "boundedWork": "Package machine limits, evidence and overrides; transfer the case to a named qualified person and track the outcome; measure staffing, retention, caseloads, offline contact, complaints, failed handoffs, crises, subgroup results and exits; then restore funded trained staff or pause the automated route when human service falls.",
      "observableDone": "A record names the responsible person, machine limits, evidence and overrides. Callers reach a qualified person without proving harm or repeating their story; that person can pause, correct and finish the response within the local urgent time. Funded retained staff and workable caseloads sustain contact, groups, care, handoffs and appeal. Synthetic contact explains its limits, data use and alternatives. Results by group show response, cases, crises, exits and dependence improving over time; staff or supply limits are recorded."
    }
  },
  "rank": {
    "mainChartPosition": 6,
    "rangeAcrossWeights": [
      2,
      8
    ],
    "dominantWorldIds": [
      "W03"
    ],
    "whyAboveNext": "CareDividend can restore whole teams and access routes, not just review one action. DutyPool at number 7 offers stronger independence per case but cannot by itself rebuild the underlying workforce.",
    "whyThisPosition": "It ranks sixth because it addresses the economic cause of hollowed human services and could work across several sectors. Its position is limited by difficult baseline choices: an operator might exaggerate savings, hide decline or blame unrelated shortages, so independent measurement and public authority are essential.",
    "couldMoveUpIf": "It could rise if automation produces large documented savings while response, continuity and subgroup outcomes fall in services that cut human capacity.",
    "couldMoveDownIf": "It would fall if savings cannot be measured fairly, decline is unrelated to automation or operators can game both the baseline and the repair trigger.",
    "strongestCounterCase": "The covenant may become permission to cut staff and invite endless baseline games; direct staffing duties and ordinary public funding could be simpler, fairer and harder to manipulate.",
    "publishedChartAppearances": [
      {
        "chart": "main",
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        "worldId": null,
        "geographicLensId": null,
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        "chart": "conditional",
        "rank": 8,
        "worldId": "W01",
        "geographicLensId": "united-states",
        "weightSetId": null
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      {
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        "worldId": "W06",
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      {
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        "rank": 8,
        "worldId": "W01",
        "geographicLensId": "mainland-china",
        "weightSetId": null
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      {
        "chart": "conditional",
        "rank": 2,
        "worldId": "W03",
        "geographicLensId": "mainland-china",
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      {
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        "rank": 6,
        "worldId": "W04",
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      {
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        "rank": 7,
        "worldId": "W06",
        "geographicLensId": "mainland-china",
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      },
      {
        "chart": "conditional",
        "rank": 8,
        "worldId": "W01",
        "geographicLensId": "european-union",
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      {
        "chart": "conditional",
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        "worldId": "W03",
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        "worldId": "W04",
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      {
        "chart": "conditional",
        "rank": 7,
        "worldId": "W06",
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      {
        "chart": "conditional",
        "rank": 8,
        "worldId": "W01",
        "geographicLensId": "india",
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      {
        "chart": "conditional",
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        "worldId": "W03",
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      {
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        "worldId": "W04",
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        "worldId": "W06",
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      {
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        "rank": 8,
        "worldId": "W01",
        "geographicLensId": "japan-and-republic-of-korea",
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      {
        "chart": "conditional",
        "rank": 2,
        "worldId": "W03",
        "geographicLensId": "japan-and-republic-of-korea",
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      {
        "chart": "conditional",
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        "worldId": "W04",
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      {
        "chart": "conditional",
        "rank": 7,
        "worldId": "W06",
        "geographicLensId": "japan-and-republic-of-korea",
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      {
        "chart": "conditional",
        "rank": 8,
        "worldId": "W01",
        "geographicLensId": "gulf-technology-economies",
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      {
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        "worldId": "W03",
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      {
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        "rank": 6,
        "worldId": "W04",
        "geographicLensId": "gulf-technology-economies",
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      {
        "chart": "conditional",
        "rank": 7,
        "worldId": "W06",
        "geographicLensId": "gulf-technology-economies",
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      {
        "chart": "conditional",
        "rank": 8,
        "worldId": "W01",
        "geographicLensId": "latin-america",
        "weightSetId": null
      },
      {
        "chart": "conditional",
        "rank": 2,
        "worldId": "W03",
        "geographicLensId": "latin-america",
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      {
        "chart": "conditional",
        "rank": 6,
        "worldId": "W04",
        "geographicLensId": "latin-america",
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      {
        "chart": "conditional",
        "rank": 7,
        "worldId": "W06",
        "geographicLensId": "latin-america",
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      },
      {
        "chart": "conditional",
        "rank": 8,
        "worldId": "W01",
        "geographicLensId": "africa",
        "weightSetId": null
      },
      {
        "chart": "conditional",
        "rank": 2,
        "worldId": "W03",
        "geographicLensId": "africa",
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      },
      {
        "chart": "conditional",
        "rank": 6,
        "worldId": "W04",
        "geographicLensId": "africa",
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      },
      {
        "chart": "conditional",
        "rank": 7,
        "worldId": "W06",
        "geographicLensId": "africa",
        "weightSetId": null
      },
      {
        "chart": "conditional",
        "rank": 8,
        "worldId": "W01",
        "geographicLensId": "other-material-paths",
        "weightSetId": null
      },
      {
        "chart": "conditional",
        "rank": 2,
        "worldId": "W03",
        "geographicLensId": "other-material-paths",
        "weightSetId": null
      },
      {
        "chart": "conditional",
        "rank": 6,
        "worldId": "W04",
        "geographicLensId": "other-material-paths",
        "weightSetId": null
      },
      {
        "chart": "conditional",
        "rank": 7,
        "worldId": "W06",
        "geographicLensId": "other-material-paths",
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    ]
  },
  "salesPromise": "If automation savings damage human service, unlock protected money and staff to rebuild it before the failure spreads.",
  "whatItDoes": {
    "headline": "A human service restoration covenant",
    "summary": "It links verified automation savings to a protected restoration fund, watches human-service outcomes and releases money or triggers a pause when staffing, access or completed results decline.",
    "steps": [
      "Set a baseline for human capacity and completed outcomes before automation changes the service.",
      "Place an agreed share of savings into a protected restoration account.",
      "Release funds automatically for retained staff, lower caseloads, offline contact, groups, and qualified review when thresholds fail.",
      "Keep restoration active until independent measures show sustained recovery."
    ],
    "outcome": "Automation cannot quietly consume the human capacity needed for serious cases; money and accountable owners are already available for repair."
  },
  "whyOnTheList": {
    "headline": "Savings need a reversible link to service capacity",
    "summary": "By 2031, organisations may remove human capacity faster than they can learn which relationships, judgement and continuity were essential. CareDividend is on the list because it creates money, a named owner and a trigger for rebuilding—not just another dashboard that notices decline after the skilled staff have gone.",
    "why2031Not2026": "Ring-fenced funds and outcome contracts exist now, but they are not normally connected to measured automation gains, machine-substitution baselines and mandatory restoration of human service. The product becomes distinct when large-scale savings and service effects can be compared continuously.",
    "worldShifts": [
      {
        "shift": "By 2031, automation may remove large blocks of visible work before institutions know which human functions were essential.",
        "causalChain": [
          "Automation creates savings and incentives to reduce staff quickly.",
          "Human contact, continuity, groups, and difficult cases deteriorate later and are harder to restore.",
          "A covenant reserves funds and defines outcome triggers before substitution occurs.",
          "Independent measurement releases money and can pause the automated route until recovery is real."
        ],
        "basis": "measured-trend",
        "evidenceIds": [
          "AC-06",
          "src-international-ai-safety-report-2026"
        ],
        "worldIds": [
          "W03"
        ],
        "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts."
      }
    ],
    "whyRepeatedUse": "The covenant monitors every reporting cycle and funds repeated restoration as demand, staffing, and machine use change."
  },
  "futureDistance": {
    "cutoffBaseline": "In 2026, social-impact contracts and ring-fenced funds exist, but they are not normally tied to automation savings and mandatory human-service restoration.",
    "structuralDifference2031": "The covenant makes machine-led substitution continuously reversible through pre-funded human capacity and observable stop rules.",
    "essential2031Conditions": [
      "Automation savings are large enough to remove human capacity before service harm is fully visible.",
      "Procurement or law can require protected restoration accounts and independent outcome access."
    ],
    "notJustBetterAI": "The causal job is financial and institutional: reserve money, preserve human capacity, and make substitution reversible.",
    "failureCondition": "If savings cannot be identified or human-service decline is unrelated to automation, the covenant has no fair funding or trigger logic."
  },
  "howItCouldBeBuilt": {
    "overview": "Combine an auditable baseline, protected funds, outcome triggers, approved restoration actions, public reporting, and authority to suspend claims of adequate service.",
    "components": [
      {
        "name": "Capacity covenant",
        "plainLanguageRole": "States what human service must remain, which results trigger repair, who is paid, and when automation must pause."
      }
    ],
    "dependencies": [
      {
        "kind": "economic",
        "name": "Auditable automation savings and service baselines",
        "plainLanguageRole": "Supplies the money and trigger evidence needed to restore human service without a new political decision.",
        "causalRequirement": "Standard procurement records can expose labour substitution, operating savings, case mix, and protected service measures.",
        "necessity": "essential",
        "basis": "design-inference",
        "evidenceIds": [],
        "worldIds": [
          "W03"
        ],
        "ifMissing": "Use the fixed levy or reject the covenant; do not claim self-funding restoration."
      }
    ],
    "hardestPart": "Preventing the operator from defining both the savings and the evidence of success while maintaining enough qualified supply to spend the fund well.",
    "whatCouldBeSimpler": "A fixed per-case levy unrelated to claimed savings."
  },
  "harmsAndFailure": {
    "whoBenefits": [
      "Human services can be rebuilt from money reserved before failure.",
      "Operators face a financial reason to preserve continuity and difficult-case capacity."
    ],
    "warnings": [
      "People whose needs are easy to exclude from measured case counts.",
      "Workers and communities affected by service cuts before restoration arrives."
    ],
    "waysItCouldFail": [
      "Financial thresholds can reduce rich service relationships to narrow metrics.",
      "A covenant might legitimise harmful cuts by making them appear reversible."
    ],
    "abuseRisks": [
      "Operators could inflate baselines, hide savings, shift hard cases, or optimise only measured outcomes.",
      "Favoured suppliers could capture restoration funds without rebuilding capacity."
    ],
    "safeguards": [
      "Give worker and service-user representatives control over measures and sample rejected and abandoned cases.",
      "Use independent accounts, open awards, conflict rules, and audit rights.",
      "Include non-negotiable human-contact floors and pause rules, not only financial compensation."
    ],
    "whenItMustStop": "Stop new automated substitution when protected funds, independent measurement, or minimum qualified staffing are unavailable."
  },
  "rankExplanation": {
    "whyThisRank": "It ranks sixth because it addresses the economic cause of hollowed human services and could work across several sectors. Its position is limited by difficult baseline choices: an operator might exaggerate savings, hide decline or blame unrelated shortages, so independent measurement and public authority are essential.",
    "sourceWhyAboveNext": "CareDividend can restore whole teams and access routes, not just review one action. DutyPool at number 7 offers stronger independence per case but cannot by itself rebuild the underlying workforce.",
    "plainEnglishWhyAboveNext": "CareDividend can restore whole teams and access routes, not just review one action. DutyPool at number 7 offers stronger independence per case but cannot by itself rebuild the underlying workforce.",
    "couldMoveUpIf": "It could rise if automation produces large documented savings while response, continuity and subgroup outcomes fall in services that cut human capacity.",
    "couldMoveDownIf": "It would fall if savings cannot be measured fairly, decline is unrelated to automation or operators can game both the baseline and the repair trigger.",
    "basis": "design-inference",
    "evidenceIds": [
      "AC-06",
      "src-international-ai-safety-report-2026",
      "AC-25",
      "SC-R01",
      "AC-27",
      "SC-R05",
      "AC-30",
      "PC-S07",
      "AC-33",
      "PC-S08",
      "RSM-02",
      "SC-R12",
      "AC-39",
      "src-saudi-data-ai-strategy",
      "AC-38",
      "SC-R21",
      "AC-36",
      "EWF-18",
      "E18",
      "C05"
    ],
    "worldIds": [
      "W03"
    ],
    "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption."
  },
  "grounding": {
    "scores": {
      "futureDistance": 5,
      "needScale": 5,
      "globalBreadth": 4,
      "marketplaceClarity": 4,
      "deliveryReadiness2031": 3,
      "trustAndSafety": 3,
      "total": 84
    },
    "evidenceAnchors": [
      {
        "statement": "Bound evidence indicates uneven transfer and material uncertainty in consequential machine use, supporting reversible adoption and human capacity safeguards.",
        "basis": "measured-trend",
        "evidenceIds": [
          "AC-06",
          "src-international-ai-safety-report-2026"
        ],
        "worldIds": [
          "W03"
        ]
      }
    ],
    "regionalVariation": [
      {
        "geographyId": "united-states",
        "fit": "conditional",
        "explanation": "Procurement fragmentation complicates covenants, but large substitution gains create a possible funding base.",
        "evidenceIds": [
          "AC-25",
          "SC-R01"
        ]
      },
      {
        "geographyId": "mainland-china",
        "fit": "conditional",
        "explanation": "Targeted investment can support protected funds, subject to local fiscal and migrant-access gaps.",
        "evidenceIds": [
          "AC-27",
          "SC-R05"
        ]
      },
      {
        "geographyId": "european-union",
        "fit": "present",
        "explanation": "Public procurement, switching, and rights oversight can support enforceable restoration covenants.",
        "evidenceIds": [
          "AC-30",
          "PC-S07"
        ]
      },
      {
        "geographyId": "india",
        "fit": "conditional",
        "explanation": "Scale creates potential savings, but assisted access and uneven state capacity shape recovery.",
        "evidenceIds": [
          "AC-33",
          "PC-S08"
        ]
      },
      {
        "geographyId": "japan-and-republic-of-korea",
        "fit": "present",
        "explanation": "Labour scarcity makes protected human complements especially valuable despite limited supply.",
        "evidenceIds": [
          "RSM-02",
          "SC-R12"
        ]
      },
      {
        "geographyId": "gulf-technology-economies",
        "fit": "conditional",
        "explanation": "Strong investment institutions can hold funds, but non-citizen service and appeal rights need protection.",
        "evidenceIds": [
          "AC-39",
          "src-saudi-data-ai-strategy"
        ]
      },
      {
        "geographyId": "latin-america",
        "fit": "conditional",
        "explanation": "Savings could support capacity, though fiscal stability and country-level enforcement vary.",
        "evidenceIds": [
          "AC-38",
          "SC-R21"
        ]
      },
      {
        "geographyId": "africa",
        "fit": "conditional",
        "explanation": "Regional agreements may help, but national ownership and qualified supply remain uncertain.",
        "evidenceIds": [
          "AC-36",
          "EWF-18"
        ]
      },
      {
        "geographyId": "other-material-paths",
        "fit": "unknown",
        "explanation": "Small or mobile populations may lack a stable operator, trustee, and taxable savings base.",
        "evidenceIds": [
          "E18",
          "C05"
        ]
      }
    ],
    "scenarioFit": [
      {
        "worldId": "W03",
        "fit": "strong",
        "reason": "Large-scale substitution with delayed service harm makes pre-committed financial reversibility a native 2031 need."
      }
    ],
    "resolutionCriteria": [
      "Protected funds equal the contracted share of independently verified savings.",
      "Threshold breaches release restoration funding within the promised time without a new discretionary approval.",
      "Staffing, contact, caseload, complaint, crisis, exit, and subgroup outcomes recover for a sustained period.",
      "Certification pauses whenever measurement or fund independence fails."
    ]
  },
  "evidenceLimitations": "Observed and published evidence grounds the world pressures and present constraints. The category, product, developer, reviews, rating and exact rank are fictional forecasts and may be wrong.",
  "datedCollisionAudit": {
    "cutoff": "2026-08-02",
    "auditedAt": "2026-08-03T23:59:59.000Z",
    "verdict": "future-dependent-no-collision-found",
    "publicReason": "no-material-collision-found. This is a search-level collision screen, not a complete registry search, trademark opinion or legal clearance. Search engines can miss products, private services, regional uses, recent launches and non-Latin-script equivalents. A no-material-collision-found verdict means only that this bounded search did not expose a material exact-name use.",
    "closestMatches": [
      {
        "title": "CPEC authors in new book on long-term care",
        "url": "https://www.linkedin.com/posts/care-policy-and-evaluation-centre-cpec_longtermcare-socialcare-care-activity-7323686594832461825-HO6G",
        "reason": "The result uses Care Dividend as a book title and topic label about investment in long-term care, not as the exact name of an app, software product or technology company."
      }
    ]
  },
  "evidenceReferences": [
    {
      "kind": "source",
      "id": "AC-06",
      "title": "METR Task-Completion Time Horizons",
      "publisher": "unknown",
      "url": "https://metr.org/time-horizons/",
      "publishedAt": "2026-05-08",
      "accessedAt": "2026-08-01",
      "limitations": "The metric is human task-equivalent difficulty, not elapsed autonomous runtime; suite coverage is limited",
      "evidenceClass": "measured-trend",
      "geographies": [
        "Other/unspecified",
        "unknown"
      ]
    },
    {
      "kind": "source",
      "id": "src-international-ai-safety-report-2026",
      "title": "International AI Safety Report 2026",
      "publisher": "International AI Safety Report",
      "url": "https://internationalaisafetyreport.org/publication/international-ai-safety-report-2026",
      "publishedAt": "2026-02-03",
      "accessedAt": "2026-08-02",
      "limitations": "The report synthesises evidence available through December 2025, so later capability claims require separate checks. Trend continuation and risk scenarios are not forecasts, and benchmark progress may not transfer to messy real work.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "global"
      ]
    },
    {
      "kind": "source",
      "id": "AC-25",
      "title": "America's AI Action Plan",
      "publisher": "unknown",
      "url": "https://www.whitehouse.gov/releases/2025/07/white-house-unveils-americas-ai-action-plan/",
      "publishedAt": "2025-07-23",
      "accessedAt": "2026-08-01",
      "limitations": "Political plan, not evidence of implementation or outcomes",
      "evidenceClass": "policy-intent",
      "geographies": [
        "United States",
        "United States/North America"
      ]
    },
    {
      "kind": "source",
      "id": "SC-R01",
      "title": "Our Epidemic of Loneliness and Isolation",
      "publisher": "United States Department of Health and Human Services, Office of the Surgeon General",
      "url": "https://www.hhs.gov/sites/default/files/surgeon-general-social-connection-advisory.pdf",
      "publishedAt": "2023-05-02",
      "accessedAt": "2026-08-02",
      "limitations": "Many reported health relationships are observational associations; United States evidence is not globally representative.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "United States"
      ]
    },
    {
      "kind": "source",
      "id": "AC-27",
      "title": "State Council “AI Plus” opinion",
      "publisher": "unknown",
      "url": "https://big5.www.gov.cn/gate/big5/www.gov.cn/zhengce/content/202508/content_7037861.htm",
      "publishedAt": "2025-08-26",
      "accessedAt": "2026-08-01",
      "limitations": "The percentage is a government target whose definition and measurement are not yet independently established",
      "evidenceClass": "policy-intent",
      "geographies": [
        "China"
      ]
    },
    {
      "kind": "source",
      "id": "SC-R05",
      "title": "Communique on Major Data of the 1% National Population Sample Survey in 2025",
      "publisher": "National Bureau of Statistics of China",
      "url": "https://www.stats.gov.cn/english/PressRelease/202605/t20260522_1963789.html",
      "publishedAt": "2026-05-22",
      "accessedAt": "2026-08-02",
      "limitations": "Demographic, household and migration indicators do not directly measure loneliness, belonging or relationship quality.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "China"
      ]
    },
    {
      "kind": "source",
      "id": "AC-30",
      "title": "Navigating the AI Act",
      "publisher": "unknown",
      "url": "https://digital-strategy.ec.europa.eu/en/faqs/navigating-ai-act",
      "publishedAt": "2026-07-27",
      "accessedAt": "2026-08-01",
      "limitations": "Implementation and enforcement outcomes remain unobserved at cutoff",
      "evidenceClass": "policy-intent",
      "geographies": [
        "European Union",
        "Europe/EU"
      ]
    },
    {
      "kind": "source",
      "id": "PC-S07",
      "title": "The AI Continent Action Plan",
      "publisher": "European Commission",
      "url": "https://digital-strategy.ec.europa.eu/en/library/ai-continent-action-plan",
      "publishedAt": "2025-04-09",
      "accessedAt": "2026-08-02",
      "limitations": "This is a policy plan, not proof that gigafactories or tripled capacity are operating. EU-wide goals hide national grid and permitting differences. The source does not establish open public access to supercomputing capacity.",
      "evidenceClass": "policy-intent",
      "geographies": [
        "European Union"
      ]
    },
    {
      "kind": "source",
      "id": "AC-33",
      "title": "Digital India and IndiaAI shared compute",
      "publisher": "unknown",
      "url": "https://www.pib.gov.in/PressReleasePage.aspx?PRID=2278453&lang=1&reg=48",
      "publishedAt": "2026-06-27",
      "accessedAt": "2026-08-01",
      "limitations": "Government-reported counts do not equal frontier-equivalent or fully utilised compute",
      "evidenceClass": "measured-trend",
      "geographies": [
        "India"
      ]
    },
    {
      "kind": "source",
      "id": "PC-S08",
      "title": "India's Common Compute Capacity Crosses 34,000 GPUs",
      "publisher": "Press Information Bureau, Government of India",
      "url": "https://www.pib.gov.in/PressReleasePage.aspx?PRID=2132817&lang=1&reg=3",
      "publishedAt": "2025-05-30",
      "accessedAt": "2026-08-02",
      "limitations": "Empanelled capacity is not the same as continuously available capacity. GPU counts do not capture performance differences, networking, storage or software readiness. Government reporting is not evidence that every person can access every listed resource.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "India"
      ]
    },
    {
      "kind": "source",
      "id": "RSM-02",
      "title": "Global Robot Density in Factories Doubled in Seven Years",
      "publisher": "IFR",
      "url": "https://ifr.org/ifr-press-releases/news/robot-density-surges-in-europe-asia-and-americas",
      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-01",
      "limitations": "Density is a stock-to-employment ratio, not a measure of autonomous task coverage or productivity",
      "evidenceClass": "measured-trend",
      "geographies": [
        "Global",
        "Global/international"
      ]
    },
    {
      "kind": "source",
      "id": "SC-R12",
      "title": "First Basic Plan for Prevention of Lonely Deaths, 2023-2027",
      "publisher": "Republic of Korea Ministry of Health and Welfare",
      "url": "https://www.mohw.go.kr/board.es?act=view&bid=0027&list_no=376315&mid=a10503010100&nPage=60&tag=",
      "publishedAt": "2023-05-18",
      "accessedAt": "2026-08-02",
      "limitations": "Policy intent and monitoring design do not demonstrate service reach, causal impact or completed outcomes.",
      "evidenceClass": "policy-intent",
      "geographies": [
        "Republic of Korea"
      ]
    },
    {
      "kind": "source",
      "id": "AC-39",
      "title": "Stargate UAE in planned 5 GW campus",
      "publisher": "unknown",
      "url": "https://www.mediaoffice.abudhabi/en/technology/global-tech-alliance-launches-stargate-uae/",
      "publishedAt": "2026-04-27",
      "accessedAt": "2026-08-01",
      "limitations": "Promotional sources; announced partners and capacity are not assured delivery",
      "evidenceClass": "measured-trend",
      "geographies": [
        "United Arab Emirates",
        "Saudi Arabia",
        "Middle East/Gulf",
        "United Arab Emirates / Saudi Arabia"
      ]
    },
    {
      "kind": "source",
      "id": "src-saudi-data-ai-strategy",
      "title": "National Strategy for Data & AI",
      "publisher": "Saudi Data and Artificial Intelligence Authority",
      "url": "https://sdaia.gov.sa/en/SDAIA/SdaiaStrategies/Pages/NationalStrategyForDataAndAI.aspx",
      "publishedAt": "2020-07-17",
      "accessedAt": "2026-08-02",
      "limitations": "The page states 2030 goals and investment ambitions, not verified delivery. It does not resolve cooling, water, imported-labour, component, or rights constraints.",
      "evidenceClass": "policy-intent",
      "geographies": [
        "gulf"
      ]
    }
  ],
  "rankingIndexPath": "rankings/category-001/index.json",
  "sourceReceipts": []
}
