{
  "schemaVersion": 1,
  "namespace": "appstore2031/storefront/v2",
  "editionId": "2031-2026-08-02",
  "candidateId": "category-001-candidate-06",
  "canonicalCandidateSha256": "1c01cad0689552d2e62bf0d67bf90d7bda2d5537b823937b0d77cac5a9532483",
  "fictionalDisclosure": true,
  "fiction": {
    "name": "StopPower",
    "developerName": "Worker Shield Cooperative",
    "iconAsset": "/storefront/v2/icons/category-001-candidate-06.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": "StopPower turns human review from a tick box into a real job. Before a worker approves a serious machine-led action, it checks that they have the evidence, qualification, time and authority to understand it. They can issue a protected pause, return an unsupported decision to the organisation that controls it and connect the affected person to review. Independent worker advocates track retaliation, overload and rubber-stamping so legal blame cannot simply be dumped on the nearest junior employee.",
    "rating": 4.6,
    "ratingLabel": "imagined 2031 rating",
    "reviews": [
      {
        "reviewerAlias": "NightShiftNia",
        "title": "The pause actually held",
        "body": "I flagged missing evidence on an automated safety decision. StopPower froze the workflow and brought in a senior reviewer without exposing me to my manager.",
        "stars": 5,
        "stance": "benefit",
        "fictionalDisclosure": true
      },
      {
        "reviewerAlias": "UnionRepWest",
        "title": "Do not confuse an app with rights",
        "body": "The record is useful, but it only works where contracts protect the pause. Management ignored two notices until the union intervened.",
        "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": 4,
    "rangeAcrossWeights": [
      2,
      6
    ],
    "dominantWorldIds": [
      "W06"
    ],
    "whyAboveNext": "StopPower can prevent harm at the moment a machine-led action reaches a human reviewer. Doorway Rover at number 5 restores access after automated systems have already excluded someone.",
    "whyThisPosition": "It ranks fourth because nominal human approval could become a massive cross-sector weakness and because the service does something technically simple but institutionally powerful. It is below the top three because its benefit depends heavily on labour rights, collective agreements and enforcement inside each jurisdiction.",
    "couldMoveUpIf": "It could rise if audits show widespread rubber-stamping, reviewer overload or punishment of workers who challenge consequential machine outputs.",
    "couldMoveDownIf": "It would fall if universal labour and professional rules already guarantee evidence, time, stop authority and safe escalation without a separate service.",
    "strongestCounterCase": "A paid control layer might certify unsafe employers and fragment worker power; strong universal labour law, unions, professional staffing and regulator enforcement may be the better answer.",
    "publishedChartAppearances": [
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        "chart": "main",
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      {
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        "geographicLensId": "africa",
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      {
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        "rank": 6,
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      {
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        "rank": 6,
        "worldId": "W01",
        "geographicLensId": "other-material-paths",
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      {
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        "rank": 6,
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  },
  "salesPromise": "Give frontline reviewers the time, evidence and protected power to stop unsafe machine-led work before it harms someone.",
  "whatItDoes": {
    "headline": "A protected stop-power service for frontline reviewers",
    "summary": "It verifies that a frontline reviewer has enough evidence, skill, time and authority, then provides a protected way to pause or return unsafe machine-led work and record what happened.",
    "steps": [
      "Check the assigned task against the worker's qualification, workload, evidence access, and actual authority.",
      "Provide an independent duty adviser and a protected channel to pause or return unsafe work.",
      "Record reasons, overrides, unresolved supplier conflicts, and the organisation that owns the duty.",
      "Track correction, worker impact, and affected-person remedy until external responsibility is clear."
    ],
    "outcome": "The worker can make a meaningful bounded decision or safely return it to the responsible organisation, while the affected person receives review and remedy."
  },
  "whyOnTheList": {
    "headline": "Human accountability fails when power and blame separate",
    "summary": "A 2031 workplace could label thousands of machine actions as human approved even when the worker has seconds, incomplete evidence and no safe right to refuse. StopPower is on the list because responsible human control requires working conditions and enforceable authority, not merely a person's name beside a decision.",
    "why2031Not2026": "Whistleblowing routes, unions and human-review policies exist in 2026, but they do not usually operate as a live control layer inside routine machine workflows. The distinct 2031 product depends on standard protected pause notices and automatic return of unsupported responsibility.",
    "worldShifts": [
      {
        "shift": "By 2031, machine-assisted actions may be routine enough that organisations assign thousands of nominal human approvals to junior staff.",
        "causalChain": [
          "Organisations retain a human approval step to satisfy responsibility requirements.",
          "High volume and machine framing turn approval into rubber-stamping while legal blame remains personal.",
          "A protected service tests competence, capacity, evidence, and stop power before the worker accepts the task.",
          "Recorded returns and overrides force the controlling organisation to carry unresolved responsibility and repair recurring defects."
        ],
        "basis": "measured-trend",
        "evidenceIds": [
          "AC-06",
          "AC-09"
        ],
        "worldIds": [
          "W06"
        ],
        "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts."
      }
    ],
    "whyRepeatedUse": "The check attaches to each new high-impact workflow and remains available whenever workload, evidence, or authority changes."
  },
  "futureDistance": {
    "cutoffBaseline": "In 2026, whistleblowing, professional advice, and human-review policies exist, but they do not form a live stop-power layer for routine machine work.",
    "structuralDifference2031": "The service makes each machine-mediated assignment conditional on verifiable human working power and returns unsupported duty to the controlling organisation.",
    "essential2031Conditions": [
      "Nominal human approval is routine across high-impact machine-assisted workflows.",
      "Law, contracts, or collective agreements recognise protected workflow pause and return notices."
    ],
    "notJustBetterAI": "The service addresses power, workload, evidence access, labour protection, and responsibility rather than model capability.",
    "failureCondition": "If every responsible worker already has enforceable authority, sufficient time, complete evidence, and safe escalation, the separate service is redundant."
  },
  "howItCouldBeBuilt": {
    "overview": "Build a confidential duty service with workflow declarations, evidence access tests, credential and workload checks, protected pause notices, and portable incident records.",
    "components": [
      {
        "name": "Stop-power check",
        "plainLanguageRole": "Tests whether the named human has the knowledge, evidence, time, and authority required for the assigned action."
      }
    ],
    "dependencies": [
      {
        "kind": "legal",
        "name": "Protected refusal and return rights",
        "plainLanguageRole": "Lets a worker pause unsafe machine-assisted work without losing employment, pay, or professional standing.",
        "causalRequirement": "Sector rules and collective agreements can define protected pause notices and return responsibility to the controlling organisation.",
        "necessity": "essential",
        "basis": "design-inference",
        "evidenceIds": [],
        "worldIds": [
          "W06"
        ],
        "ifMissing": "The service can advise but must not claim workers have effective control."
      }
    ],
    "hardestPart": "Making refusal safe in practice when the employer controls work, evidence, performance measures, and career consequences.",
    "whatCouldBeSimpler": "A confidential union or professional helpline with manual written notices."
  },
  "harmsAndFailure": {
    "whoBenefits": [
      "Workers can refuse unsafe machine-led work without silently absorbing blame.",
      "Affected people gain a reviewer with real capacity and an evidence trail."
    ],
    "warnings": [
      "Junior, contracted, migrant, precarious, disabled, and minority workers with limited bargaining power.",
      "People affected by delayed action during a dispute about authority."
    ],
    "waysItCouldFail": [
      "Pause rights could delay urgent beneficial action.",
      "Sensitive worker reports could expose careers or invite retaliation."
    ],
    "abuseRisks": [
      "Employers could pressure the service to certify inadequate workflows.",
      "Workers or managers could use pause notices tactically in unrelated disputes."
    ],
    "safeguards": [
      "Use urgency-specific safe actions, independent governance, anti-retaliation monitoring, and rapid senior review.",
      "Separate workflow safety evidence from unrelated employment records.",
      "Audit withdrawn, rejected, and overridden notices along with affected-person outcomes."
    ],
    "whenItMustStop": "Stop certifying any workflow when evidence access, adviser independence, or worker protection fails."
  },
  "rankExplanation": {
    "whyThisRank": "It ranks fourth because nominal human approval could become a massive cross-sector weakness and because the service does something technically simple but institutionally powerful. It is below the top three because its benefit depends heavily on labour rights, collective agreements and enforcement inside each jurisdiction.",
    "sourceWhyAboveNext": "StopPower can prevent harm at the moment a machine-led action reaches a human reviewer. Doorway Rover at number 5 restores access after automated systems have already excluded someone.",
    "plainEnglishWhyAboveNext": "StopPower can prevent harm at the moment a machine-led action reaches a human reviewer. Doorway Rover at number 5 restores access after automated systems have already excluded someone.",
    "couldMoveUpIf": "It could rise if audits show widespread rubber-stamping, reviewer overload or punishment of workers who challenge consequential machine outputs.",
    "couldMoveDownIf": "It would fall if universal labour and professional rules already guarantee evidence, time, stop authority and safe escalation without a separate service.",
    "basis": "design-inference",
    "evidenceIds": [
      "AC-06",
      "AC-09",
      "AC-25",
      "SC-R02",
      "AC-27",
      "SC-R05",
      "AC-30",
      "src-eu-gpai-act-qa",
      "AC-33",
      "SC-R09",
      "RSM-02",
      "SC-R12",
      "AC-39",
      "SC-R15",
      "AC-38",
      "SC-R23",
      "AC-36",
      "src-au-continental-ai-strategy-2024",
      "E18",
      "C05"
    ],
    "worldIds": [
      "W06"
    ],
    "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption."
  },
  "grounding": {
    "scores": {
      "futureDistance": 5,
      "needScale": 5,
      "globalBreadth": 5,
      "marketplaceClarity": 4,
      "deliveryReadiness2031": 3,
      "trustAndSafety": 4,
      "total": 89
    },
    "evidenceAnchors": [
      {
        "statement": "Bound evidence describes jagged capability and short dependable task horizons, which make unsupported rubber-stamp review unsafe.",
        "basis": "measured-trend",
        "evidenceIds": [
          "AC-06",
          "AC-09"
        ],
        "worldIds": [
          "W06"
        ]
      }
    ],
    "regionalVariation": [
      {
        "geographyId": "united-states",
        "fit": "conditional",
        "explanation": "Worker protection and sector regulation vary, while exposed labour markets increase the risk of blame transfer.",
        "evidenceIds": [
          "AC-25",
          "SC-R02"
        ]
      },
      {
        "geographyId": "mainland-china",
        "fit": "conditional",
        "explanation": "Strong organisational direction may support stop rules, but migrant and local worker protections vary.",
        "evidenceIds": [
          "AC-27",
          "SC-R05"
        ]
      },
      {
        "geographyId": "european-union",
        "fit": "present",
        "explanation": "Worker rights and AI governance can support meaningful human control and independent appeal.",
        "evidenceIds": [
          "AC-30",
          "src-eu-gpai-act-qa"
        ]
      },
      {
        "geographyId": "india",
        "fit": "conditional",
        "explanation": "Large formal and informal workforces require assisted routes and enforceable protection.",
        "evidenceIds": [
          "AC-33",
          "SC-R09"
        ]
      },
      {
        "geographyId": "japan-and-republic-of-korea",
        "fit": "present",
        "explanation": "Labour scarcity and high automation make credible stop power important, subject to workplace norms.",
        "evidenceIds": [
          "RSM-02",
          "SC-R12"
        ]
      },
      {
        "geographyId": "gulf-technology-economies",
        "fit": "conditional",
        "explanation": "Advanced deployment makes the service useful, while non-citizen worker appeal rights are a key condition.",
        "evidenceIds": [
          "AC-39",
          "SC-R15"
        ]
      },
      {
        "geographyId": "latin-america",
        "fit": "conditional",
        "explanation": "Contracting cognitive work increases need, but enforcement and worker-body capacity differ by country.",
        "evidenceIds": [
          "AC-38",
          "SC-R23"
        ]
      },
      {
        "geographyId": "africa",
        "fit": "conditional",
        "explanation": "Continental governance can support standards, while national enforcement and informal work remain uneven.",
        "evidenceIds": [
          "AC-36",
          "src-au-continental-ai-strategy-2024"
        ]
      },
      {
        "geographyId": "other-material-paths",
        "fit": "unknown",
        "explanation": "Portable employment and appeal rights are too weak or varied across remaining paths to assume protection.",
        "evidenceIds": [
          "E18",
          "C05"
        ]
      }
    ],
    "scenarioFit": [
      {
        "worldId": "W06",
        "fit": "strong",
        "reason": "Routine supervised machine work creates a widespread need to connect named human responsibility to real evidence, time, skill, and stop power."
      }
    ],
    "resolutionCriteria": [
      "Every certified reviewer has recorded competence, evidence access, workload capacity, stop authority, and escalation protection.",
      "Returned tasks reach a qualified controlling authority within the promised time.",
      "Retaliation, rubber-stamp, unresolved supplier, and affected-person remedy outcomes improve.",
      "Certification ends immediately when worker control becomes nominal."
    ]
  },
  "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": "Retail Activation - Brand Agency",
        "url": "https://brandagency.nl/retail-activation/",
        "reason": "The page uses STOP POWER as an ordinary retail-marketing phrase, not as the exact name of an app, software product or technology company."
      },
      {
        "title": "R&S FPL User Manual",
        "url": "https://media.distrelec.com/Web/Downloads/_m/an/FPL1000_eng_man.pdf",
        "reason": "StopPower appears as a technical parameter in an instrument manual, not a product brand in the screened market."
      }
    ]
  },
  "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": "AC-09",
      "title": "T2J-Bench",
      "publisher": "unknown",
      "url": "https://arxiv.org/abs/2605.29054",
      "publishedAt": "2026-05-27",
      "accessedAt": "2026-08-01",
      "limitations": "Preprint, one task family",
      "evidenceClass": "measured-trend",
      "geographies": [
        "Other/unspecified",
        "unknown"
      ]
    },
    {
      "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-R02",
      "title": "Families and living arrangements: 2022 data",
      "publisher": "United States Census Bureau",
      "url": "https://www.census.gov/newsroom/press-releases/2024/families-living-arrangements.html",
      "publishedAt": "2024-05-30",
      "accessedAt": "2026-08-02",
      "limitations": "Household composition is not a measure of loneliness, relationship quality or voluntary solitude.",
      "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": "src-eu-gpai-act-qa",
      "title": "General-Purpose AI Models in the AI Act - Questions & Answers",
      "publisher": "European Commission",
      "url": "https://digital-strategy.ec.europa.eu/en/faqs/general-purpose-ai-models-ai-act-questions-answers",
      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-02",
      "limitations": "The official page did not expose a clear publication date; it was accessed on 2026-08-02. Legal systemic-risk thresholds and duties do not predict capability or enforcement capacity.",
      "evidenceClass": "policy-intent",
      "geographies": [
        "eu"
      ]
    },
    {
      "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": "SC-R09",
      "title": "National Mental Health Survey of India 2015-16: Mental Health Systems",
      "publisher": "National Institute of Mental Health and Neurosciences, supported by the Government of India Ministry of Health and Family Welfare",
      "url": "https://indianmhs.nimhans.ac.in/phase1/Docs/Report1.pdf",
      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-02",
      "limitations": "The baseline is old and may not reflect current capacity; state variation is substantial.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "India; 12 surveyed states across six regions"
      ]
    },
    {
      "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": "SC-R15",
      "title": "Saudi Family Statistics 2024",
      "publisher": "General Authority for Statistics, Saudi Arabia",
      "url": "https://www.stats.gov.sa/documents/20117/2435273/Saudi%2BFamily%2BStatistics%2BEN.pdf/14706a41-9ba0-1ae8-e1b4-f6ee2ec3d7f3",
      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-02",
      "limitations": "Household size and type do not reveal loneliness, autonomy, relationship quality or within-household exclusion.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "Saudi Arabia"
      ]
    }
  ],
  "rankingIndexPath": "rankings/category-001/index.json",
  "sourceReceipts": []
}
