{
  "schemaVersion": 1,
  "namespace": "appstore2031/storefront/v2",
  "editionId": "2031-2026-08-02",
  "candidateId": "category-006-candidate-02",
  "canonicalCandidateSha256": "ff465ad0445a99680d8fa75efd276510c8551282b1535af0835f67ca35dd130a",
  "fictionalDisclosure": true,
  "fiction": {
    "name": "RescueDue",
    "developerName": "Visible Work Commons",
    "iconAsset": "/storefront/v2/icons/category-006-candidate-02.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": "RescueDue counts the human interventions that make apparently automatic services actually work. When a worker catches an error, calms a customer or fixes an exception, they record a tiny protected marker for time, urgency and strain. A human reviewer keeps private detail out, confirms pay and rest, and groups repeat patterns. Workers and management must answer those patterns with staffing, redesign or shutdown. The service never assigns automatic blame and must withdraw if its records become individual productivity scores.",
    "rating": 4.3,
    "ratingLabel": "imagined 2031 rating",
    "reviews": [
      {
        "reviewerAlias": "HumanInTheLooped",
        "title": "The dashboard finally included us",
        "body": "Our team had been fixing the same handoff every night. The markers won two extra staff, paid recovery breaks and a redesign deadline we could see.",
        "stars": 5,
        "stance": "benefit",
        "fictionalDisclosure": true
      },
      {
        "reviewerAlias": "PrivacyOnShift",
        "title": "Minimal data still grows when managers ask",
        "body": "The worker view was careful, but our employer kept requesting names and exact transcripts to prove every intervention. The independent board needs faster power to refuse that creep.",
        "stars": 2,
        "stance": "critical",
        "fictionalDisclosure": true
      }
    ]
  },
  "category": {
    "id": "category-006",
    "name": "Skills, Safe Work and Next Steps",
    "plainLanguageDefinition": "Services that turn rapid changes in work into paid practice, safer jobs, trusted proof and a real next step. A listing must finish with something people can see: demonstrated skill, protected pay, a repaired system, a safer workload or a named paid destination.",
    "recurringBrowsePurpose": "A learner, worker, representative, employer or training body building capability, managing a work change, or correcting unsafe, unsupported and invisible human work.",
    "completion": {
      "trigger": "A work or learning change removes practice, hides human rescue, shifts blame, intensifies unsafe work or leaves a person without support, accepted skill evidence or a realistic next step.",
      "boundedWork": "Explain the change; provide paid supervised tasks, current instructions, tools, spares, safe access and a named mentor; record feedback, workload and intervention; protect pay, rest, care duties, stop and challenge routes; involve workers in redesign; issue limited portable proof; and arrange a supported next step.",
      "observableDone": "The person completes fresh supervised or maintenance work safely and on time, explains choices, responds to an error and demonstrates retained skill. They receive mentor feedback and accepted proof containing only needed evidence. They can see material tracking, stop danger, obtain due pay, rest or short support, keep chosen care duties and use a grievance route. Outcomes are reported by group and place, and a named paid next step or supported alternative follows."
    }
  },
  "rank": {
    "mainChartPosition": 10,
    "rangeAcrossWeights": [
      5,
      10
    ],
    "dominantWorldIds": [
      "W04"
    ],
    "whyAboveNext": "It stays above the strongest excluded concept, CareWeave, because hidden rescue occurs across more types of work and has a sharper repeated trigger; CareWeave relies on scarce replacement-care capacity and risks creating a separate career track for carers.",
    "whyThisPosition": "The recurring need is broad and distinctly connected to apparently autonomous systems. It takes tenth because its observable finish is less dependable than those above: organisations can log and compensate an intervention yet still avoid genuine redesign, and even minimal records can become worker surveillance.",
    "couldMoveUpIf": "It could rise if worker-governed rescue accounts are shown to increase pay, rest and system repair without becoming individual performance monitoring.",
    "couldMoveDownIf": "It would drop if ordinary payroll and safety systems already capture intervention work, or if managers use its records for discipline, staffing cuts or blame.",
    "strongestCounterCase": "A new ledger could create bureaucracy, defensive reporting and a detailed map of worker behaviour. Strong unions, adequate staffing and ordinary safety reporting may address hidden work with less surveillance.",
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      {
        "chart": "conditional",
        "rank": 10,
        "worldId": "W01",
        "geographicLensId": "other-material-paths",
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      {
        "chart": "conditional",
        "rank": 10,
        "worldId": "W02",
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      {
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        "rank": 10,
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      {
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        "rank": 5,
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      {
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        "rank": 10,
        "worldId": "W05",
        "geographicLensId": "other-material-paths",
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    ]
  },
  "salesPromise": "Make the hidden human work behind “automatic” systems visible, paid and impossible to ignore.",
  "whatItDoes": {
    "headline": "A rescue-work meter with pay and redesign power",
    "summary": "It records the minimum evidence when a person rescues a failing automated process, connects that hidden effort to pay and rest, and groups repeat causes so a jointly governed team must redesign the work.",
    "steps": [
      "The worker records a minimal intervention marker, its urgency, lost time and any safety or emotional load.",
      "A human reviewer separates useful rescue evidence from private or blame-oriented detail and confirms paid time, rest and staffing consequences.",
      "The service groups recurring intervention patterns without exposing individual histories.",
      "Workers and management choose a redesign, staffing or shutdown response and publish whether the burden fell."
    ],
    "outcome": "Hidden rescue becomes compensated work, repeat failure becomes a redesign obligation and the worker can challenge the record without carrying a permanent surveillance trail."
  },
  "whyOnTheList": {
    "headline": "Automation can hide the labour that keeps it usable",
    "summary": "A system can look autonomous because people quietly repair its failures. By 2031, those exceptions may be harder, more emotional and less visible than the routine work machines handle. RescueDue makes that labour count before executives set staffing and pay from an incomplete dashboard, while trying not to turn human rescue into surveillance.",
    "why2031Not2026": "Incident logs and time sheets already exist. The forecast difference is that one protected intervention marker creates enforceable pay, recovery time and a redesign obligation, governed jointly rather than used as a normal productivity record.",
    "worldShifts": [
      {
        "shift": "By 2031, more systems may appear autonomous while people quietly resolve exceptions, explain outputs and protect customers from failure.",
        "causalChain": [
          "Automated systems handle the visible routine path.",
          "Exceptions concentrate into harder, less predictable human work.",
          "Ordinary dashboards attribute success to the system and delay to the person.",
          "A protected rescue ledger converts interventions into pay, workload and redesign evidence."
        ],
        "basis": "measured-trend",
        "evidenceIds": [
          "EWF-04",
          "EWF-05"
        ],
        "worldIds": [
          "W04"
        ],
        "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts."
      },
      {
        "shift": "By 2031, more systems may appear autonomous while people quietly resolve exceptions, explain outputs and protect customers from failure.",
        "causalChain": [
          "Automated systems handle the visible routine path.",
          "Exceptions concentrate into harder, less predictable human work.",
          "Ordinary dashboards attribute success to the system and delay to the person.",
          "A protected rescue ledger converts interventions into pay, workload and redesign evidence."
        ],
        "basis": "design-inference",
        "evidenceIds": [],
        "worldIds": [
          "W04"
        ],
        "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts."
      }
    ],
    "whyRepeatedUse": "Each tool update and each new failure mode can move hidden effort, so teams need continuing measurement and redesign rather than a one-time audit."
  },
  "futureDistance": {
    "cutoffBaseline": "In 2026, incident tools and time sheets can log exceptions, but they usually separate system performance from pay, rest, worker voice and redesign authority.",
    "structuralDifference2031": "The rescue account becomes a formal counterweight to automation metrics: an intervention creates immediate worker rights and an obligation to change repeated causes.",
    "essential2031Conditions": [
      "Apparently autonomous systems create a material volume of concentrated human exception work.",
      "Workplaces accept intervention time as compensable evidence.",
      "Joint bodies have power to demand staffing or system changes."
    ],
    "notJustBetterAI": "Better detection cannot supply wage rights, trusted worker testimony, collective judgement or authority to redesign work.",
    "failureCondition": "If systems can safely expose and compensate all human interventions through ordinary payroll and safety processes, a separate rescue account is redundant."
  },
  "howItCouldBeBuilt": {
    "overview": "Combine minimal event capture, worker-controlled notes, payroll adjustments, pattern analysis and a jointly governed redesign queue.",
    "components": [
      {
        "name": "Intervention marker",
        "plainLanguageRole": "Records that rescue happened, its duration and its broad cause without recording every action."
      },
      {
        "name": "Burden review board",
        "plainLanguageRole": "Workers and managers verify patterns and decide pay, rest, staffing or redesign actions."
      },
      {
        "name": "Rescue account",
        "plainLanguageRole": "Shows intervention hours, repeated causes, overdue fixes and whether affected groups receive relief."
      }
    ],
    "dependencies": [
      {
        "kind": "institutional",
        "name": "Protected intervention reporting",
        "plainLanguageRole": "Lets workers reveal rescue burden without losing shifts, status or future work.",
        "causalRequirement": "Participating workplaces recognise rescue markers as paid records with anti-retaliation and collective review rights.",
        "necessity": "essential",
        "basis": "design-inference",
        "evidenceIds": [],
        "worldIds": [
          "W04"
        ],
        "ifMissing": "Workers will under-report and the account will falsely validate unsafe automation."
      }
    ],
    "hardestPart": "Making hidden work visible enough to change pay and design without turning the worker into the most monitored part of the system.",
    "whatCouldBeSimpler": "A jointly reviewed manual rescue log attached to payroll."
  },
  "harmsAndFailure": {
    "whoBenefits": [
      "Paid recognition of exception work",
      "Earlier detection of brittle systems",
      "Evidence for staffing and redesign"
    ],
    "warnings": [
      "Workers identifiable through rare interventions",
      "Teams penalised for honest reporting",
      "Customers whose incidents reveal sensitive information"
    ],
    "waysItCouldFail": [
      "Surveillance disguised as recognition",
      "Management gaming intervention definitions",
      "Blame shifted to the last human in the chain",
      "Extra reporting work during emergencies"
    ],
    "abuseRisks": [
      "Managers suppress markers before audits",
      "Insurers demand identifiable worker histories",
      "A vendor treats fewer reports as proof of safety"
    ],
    "safeguards": [
      "Worker-controlled detail and strict deletion",
      "Automatic pay from the initial marker",
      "Independent sampling and anti-retaliation review",
      "Measure unresolved causes as well as report counts"
    ],
    "whenItMustStop": "Stop analytics and external sharing after a privacy breach, while keeping the pay and safety-report routes open."
  },
  "rankExplanation": {
    "whyThisRank": "The recurring need is broad and distinctly connected to apparently autonomous systems. It takes tenth because its observable finish is less dependable than those above: organisations can log and compensate an intervention yet still avoid genuine redesign, and even minimal records can become worker surveillance.",
    "sourceWhyAboveNext": "It stays above the strongest excluded concept, CareWeave, because hidden rescue occurs across more types of work and has a sharper repeated trigger; CareWeave relies on scarce replacement-care capacity and risks creating a separate career track for carers.",
    "plainEnglishWhyAboveNext": "It stays above the strongest excluded concept, CareWeave, because hidden rescue occurs across more types of work and has a sharper repeated trigger; CareWeave relies on scarce replacement-care capacity and risks creating a separate career track for carers.",
    "couldMoveUpIf": "It could rise if worker-governed rescue accounts are shown to increase pay, rest and system repair without becoming individual performance monitoring.",
    "couldMoveDownIf": "It would drop if ordinary payroll and safety systems already capture intervention work, or if managers use its records for discipline, staffing cuts or blame.",
    "basis": "design-inference",
    "evidenceIds": [
      "EWF-04",
      "EWF-05",
      "PC-S03",
      "PC-S14",
      "SC-R01",
      "PC-S05",
      "PC-S11",
      "SC-R06",
      "PC-S07",
      "PC-S15",
      "HBD-13",
      "SC-R04",
      "PC-S08",
      "HBD-11",
      "SC-R07",
      "PC-S09",
      "SC-R12",
      "src-saudi-data-ai-strategy",
      "src-uae-ai-strategy-2031",
      "SC-R16",
      "src-eclac-ilia-2025",
      "SC-R21",
      "SC-R23",
      "src-au-continental-ai-strategy-2024",
      "SC-R18",
      "SC-R19"
    ],
    "worldIds": [
      "W04"
    ],
    "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption."
  },
  "grounding": {
    "scores": {
      "futureDistance": 4,
      "needScale": 5,
      "globalBreadth": 4,
      "marketplaceClarity": 4,
      "deliveryReadiness2031": 4,
      "trustAndSafety": 3,
      "total": 82
    },
    "evidenceAnchors": [
      {
        "statement": "Task-level machine capability and real-world transfer can diverge, leaving people to handle exceptions.",
        "basis": "measured-trend",
        "evidenceIds": [
          "EWF-04",
          "EWF-05"
        ],
        "worldIds": [
          "W04"
        ]
      },
      {
        "statement": "Linking an intervention ledger directly to pay, rest and worker-led redesign is a proposed governance design.",
        "basis": "design-inference",
        "evidenceIds": [],
        "worldIds": [
          "W04"
        ]
      }
    ],
    "regionalVariation": [
      {
        "geographyId": "united-states",
        "fit": "conditional",
        "explanation": "United States fit depends on state wage enforcement, sector compacts and protection from retaliation across varied workplaces.",
        "evidenceIds": [
          "PC-S03",
          "PC-S14",
          "SC-R01"
        ]
      },
      {
        "geographyId": "mainland-china",
        "fit": "conditional",
        "explanation": "Mainland China could aggregate rescue patterns at scale, but provincial transparency and worker challenge mechanisms remain decisive.",
        "evidenceIds": [
          "PC-S05",
          "PC-S11",
          "SC-R06"
        ]
      },
      {
        "geographyId": "european-union",
        "fit": "conditional",
        "explanation": "European Union worker and data rights provide useful foundations, though member-state enforcement and SME capacity vary.",
        "evidenceIds": [
          "PC-S07",
          "PC-S15",
          "HBD-13",
          "SC-R04"
        ]
      },
      {
        "geographyId": "india",
        "fit": "conditional",
        "explanation": "India's distributed infrastructure makes rescue accounting valuable, but informal work and uneven state enforcement complicate pay recovery.",
        "evidenceIds": [
          "PC-S08",
          "HBD-11",
          "SC-R07"
        ]
      },
      {
        "geographyId": "japan-and-republic-of-korea",
        "fit": "conditional",
        "explanation": "Japan and the Republic of Korea could pair facility redesign with intervention evidence if reporting is not culturally or organisationally punished.",
        "evidenceIds": [
          "PC-S09",
          "PC-S11",
          "SC-R12"
        ]
      },
      {
        "geographyId": "gulf-technology-economies",
        "fit": "conditional",
        "explanation": "Gulf technology economies can fund the infrastructure, but equal coverage for migrant workers is essential.",
        "evidenceIds": [
          "src-saudi-data-ai-strategy",
          "src-uae-ai-strategy-2031",
          "SC-R16"
        ]
      },
      {
        "geographyId": "latin-america",
        "fit": "conditional",
        "explanation": "Latin American public-service and city programmes offer entry points, while fiscal differences may weaken independent review.",
        "evidenceIds": [
          "src-eclac-ilia-2025",
          "SC-R21",
          "SC-R23"
        ]
      },
      {
        "geographyId": "africa",
        "fit": "conditional",
        "explanation": "African regional assurance systems could support shared definitions, but maintenance funding and worker access are uncertain.",
        "evidenceIds": [
          "src-au-continental-ai-strategy-2024",
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        "evidenceIds": []
      }
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        "reason": "The assigned world relies on maintained systems, making the hidden human work that preserves those systems economically and socially important."
      }
    ],
    "resolutionCriteria": [
      "All accepted intervention time reaches payroll without requiring detailed surveillance.",
      "Repeat causes receive a named owner, deadline and worker-reviewed response.",
      "Workers can stop, correct, appeal and delete unnecessary evidence.",
      "Group-level burden, pay, rest and redesign outcomes are independently reported."
    ]
  },
  "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 screen, not a trademark search, legal opinion, worldwide clearance or guarantee that an unindexed product does not exist. Search results can be incomplete, stale, user-generated or affected by punctuation and word-boundary errors. The verdicts describe only the material returned on 2026-08-03, and no-material-collision-found must not be presented as legal clearance.",
    "closestMatches": [
      {
        "title": "Bulldog Rescue annual report",
        "url": "https://register-of-charities.charitycommission.gov.uk/charity-search?_uk_gov_ccew_onereg_charitydetails_web_portlet_CharityDetailsPortlet_objectiveId=A11339284&_uk_gov_ccew_onereg_charitydetails_web_portlet_CharityDetailsPortlet_priv_r_p_mvcRenderCommandName=%2Ffull-print&_uk_gov_ccew_onereg_charitydetails_web_portlet_CharityDetailsPortlet_priv_p_organisationNumber=4024490&p_p_cacheability=cacheLevelPage&p_p_id=uk_gov_ccew_onereg_charitydetails_web_portlet_CharityDetailsPortlet_p_lifecycle=2&p_p_mode=view&p_p_resource_id=%2Faccounts-resource&p_p_state=maximized",
        "reason": "The result joins the neighbouring words 'Rescue' and 'Due' after punctuation or layout loss. It does not identify a product, company or service named RescueDue."
      }
    ]
  },
  "evidenceReferences": [
    {
      "kind": "source",
      "id": "EWF-04",
      "title": "ILO, Generative AI and Jobs: A Refined Global Index of Occupational Exposure",
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      "url": "https://www.ilo.org/publications/generative-ai-and-jobs-refined-global-index-occupational-exposure",
      "publishedAt": "2025-05-20",
      "accessedAt": "2026-08-01",
      "limitations": "Task exposure is not displacement, adoption, productivity or wage effect.",
      "evidenceClass": "measured-trend",
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        "Global",
        "Global/international"
      ]
    },
    {
      "kind": "source",
      "id": "EWF-05",
      "title": "ILO/World Bank, Disruption without dividend?",
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      "url": "https://www.ilo.org/publications/disruption-without-dividend-how-digital-divide-and-task-differences-split",
      "publishedAt": "2026-03-17",
      "accessedAt": "2026-08-01",
      "limitations": "Internet access is a necessary but insufficient proxy for productive use; occupational structures will change.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "Multi-country",
        "Other/unspecified"
      ]
    },
    {
      "kind": "source",
      "id": "PC-S03",
      "title": "United States Data Center Energy Usage Report: 2025 Update",
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      "url": "https://eta-publications.lbl.gov/publications/united-states-data-center-energy-2025",
      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-02",
      "limitations": "This is a US-only bottom-up model, not a global forecast. Shipment, lifetime, utilisation and cooling assumptions drive the range. It does not predict local tariffs, queue rules or who receives service.",
      "evidenceClass": "modelled-projection",
      "geographies": [
        "United States"
      ]
    },
    {
      "kind": "source",
      "id": "PC-S14",
      "title": "DOE Releases New Report Evaluating Increase in Electricity Demand from Data Centers",
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      "publishedAt": "2024-12-20",
      "accessedAt": "2026-08-02",
      "limitations": "This short announcement adds little beyond the underlying LBNL report. Its 2028 scenario was later updated by LBNL's 2026 report.",
      "evidenceClass": "modelled-projection",
      "geographies": [
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      ]
    },
    {
      "kind": "source",
      "id": "SC-R01",
      "title": "Our Epidemic of Loneliness and Isolation",
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      "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": "PC-S05",
      "title": "China releases plan to advance Digital China development",
      "publisher": "State Council of the People's Republic of China",
      "url": "https://english.www.gov.cn/news/202505/17/content_WS6827c405c6d0868f4e8f29cc.html",
      "publishedAt": "2025-05-17",
      "accessedAt": "2026-08-02",
      "limitations": "A target is not verified delivered or generally available capacity. EFLOPS measures are not automatically comparable across all hardware and workloads. The plan does not show that an individual can buy or move capacity freely.",
      "evidenceClass": "policy-intent",
      "geographies": [
        "China"
      ]
    },
    {
      "kind": "source",
      "id": "PC-S11",
      "title": "World Robotics 2025: Industrial Robots",
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      "url": "https://ifr.org/ifr-press-releases/news/global-robot-demand-in-factories-doubles-over-10-years",
      "publishedAt": "2025-09-25",
      "accessedAt": "2026-08-02",
      "limitations": "Industrial robots are mainly bounded machines in factories; they are not proof of general-purpose home robots. Installations do not measure autonomy, reliability, task breadth or person-level access. The 2028 number is an industry forecast and could change with investment and trade conditions.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "global",
        "China",
        "Japan",
        "Republic of Korea",
        "India",
        "European Union",
        "United States",
        "Americas"
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    },
    {
      "kind": "source",
      "id": "SC-R06",
      "title": "China targets wider mutual-aid eldercare coverage by 2030",
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      "url": "https://english.www.gov.cn/news/202604/29/content_WS69f1abd1c6d00ca5f9a0ab18.html",
      "publishedAt": "2026-04-29",
      "accessedAt": "2026-08-02",
      "limitations": "A target is not proof of implementation, equitable access, service quality or social-connection outcomes.",
      "evidenceClass": "policy-intent",
      "geographies": [
        "China"
      ]
    },
    {
      "kind": "source",
      "id": "PC-S07",
      "title": "The AI Continent Action Plan",
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      "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": "PC-S15",
      "title": "Robotics",
      "publisher": "European Commission",
      "url": "https://digital-strategy.ec.europa.eu/en/policies/robotics",
      "publishedAt": "2026-03-27",
      "accessedAt": "2026-08-02",
      "limitations": "A policy page is not deployment data. It does not establish that open-world autonomy will be reliable by 2031. Regulated care, transport, safety and security duties cannot be delegated to private software merely because a robot is involved.",
      "evidenceClass": "policy-intent",
      "geographies": [
        "European Union"
      ]
    },
    {
      "kind": "source",
      "id": "HBD-13",
      "title": "European Health Data Space Regulation",
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      "url": "https://health.ec.europa.eu/ehealth-digital-health-and-care/european-health-data-space-regulation-ehds_en",
      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-01",
      "limitations": "Entry into force is not operational interoperability; implementing acts, national readiness and enforcement remain consequential.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "European Union",
        "Europe/EU"
      ]
    },
    {
      "kind": "source",
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      "title": "Household composition statistics",
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      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-02",
      "limitations": "Household form does not measure loneliness or belonging; member-state patterns vary.",
      "evidenceClass": "measured-trend",
      "geographies": [
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      ]
    },
    {
      "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"
      ]
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    {
      "kind": "source",
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      "publisher": "Government of India Press Information Bureau",
      "url": "https://www.pib.gov.in/PressNoteDetails.aspx?ModuleId=3&NoteId=154146&lang=1&reg=46",
      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-01",
      "limitations": "Government administrative counts do not by themselves establish unique active users, clinical quality, outcome gains or inclusion.",
      "evidenceClass": "measured-trend",
      "geographies": [
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  "rankingIndexPath": "rankings/category-006/index.json",
  "sourceReceipts": []
}
