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          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)",
          "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion",
          "familyLabel": null,
          "categoryName": "Consulting Framework",
          "categorySlug": "consulting-framework"
        },
        "matchId": "019dd95a-088b-72c8-b7e3-c8efe93b0bb5",
        "evidence": "Forecast (p.23) -> TSR by sector (p.24) -> credit risk (p.25).",
        "position": 5,
        "objective": "Cascade economic data into sector- and credit-level implications",
        "confidence": 70,
        "extraction": {
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          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
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        }
      },
      {
        "to": 28,
        "from": 26,
        "loop": {
          "name": "33_build_up",
          "slug": "33-build-up",
          "status": "active",
          "bestFor": "Pricing justification, cost estimation, market sizing",
          "canonId": "019dd956-733a-746e-88fd-04b2e4b51b61",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Base -> Add Component A -> Add Component B -> Add Component C -> The Total",
          "description": "Start from zero and add components to arrive at a total",
          "familyLabel": null,
          "categoryName": "Consulting Framework",
          "categorySlug": "consulting-framework"
        },
        "matchId": "019dd95a-088b-72c8-b7e3-cd47a82554c8",
        "evidence": "p.26 cockpit components; p.27 fashion example; p.28 machinery example.",
        "position": 6,
        "objective": "Build the dynamic cockpit framework and apply to two industries",
        "confidence": 75,
        "extraction": {
          "at": "2026-04-29 13:07:29.689431+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        }
      },
      {
        "to": 29,
        "from": 29,
        "loop": {
          "name": "04_tale_two_worlds",
          "slug": "04-tale-two-worlds",
          "status": "active",
          "bestFor": "Competitive analysis, benchmarking, case for change",
          "canonId": "019dd956-674f-750b-b15d-f082e2717f4e",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
          "description": "Show the gap between two states to drive urgency or highlight opportunity",
          "familyLabel": null,
          "categoryName": "Comparison",
          "categorySlug": "comparison"
        },
        "matchId": "019dd95a-088b-72c8-b7e3-d2a93769ba57",
        "evidence": "p.29 'some companies emerge as winners within each sector'.",
        "position": 7,
        "objective": "Contrast winners vs losers within each sector",
        "confidence": 70,
        "extraction": {
          "at": "2026-04-29 13:07:29.689431+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        }
      },
      {
        "to": 31,
        "from": 31,
        "loop": {
          "name": "40_mece_breakdown",
          "slug": "40-mece-breakdown",
          "status": "active",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories",
          "familyLabel": null,
          "categoryName": "Consulting Framework",
          "categorySlug": "consulting-framework"
        },
        "matchId": "019dd95a-088b-72c8-b7e3-d7a54aa7392a",
        "evidence": "p.31 lays out 6 distinct guiding principles for crisis leadership.",
        "position": 8,
        "objective": "MECE breakdown of 6 leadership principles",
        "confidence": 70,
        "extraction": {
          "at": "2026-04-29 13:07:29.689431+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        }
      },
      {
        "to": 37,
        "from": 33,
        "loop": {
          "name": "09_precedent",
          "slug": "09-precedent",
          "status": "active",
          "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches",
          "canonId": "019dd956-695f-7615-8f82-39d919918314",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning",
          "description": "Use historical or external examples to validate your approach",
          "familyLabel": null,
          "categoryName": "Validation",
          "categorySlug": "validation"
        },
        "matchId": "019dd95a-088b-72c8-b7e3-db8ff2a16bf3",
        "evidence": "p.33 '2008 crisis' winners +4% TSR; p.37 weak-economy M&A +9.6pp.",
        "position": 9,
        "objective": "Use 2008-crisis precedents to justify bold moves and M&A",
        "confidence": 80,
        "extraction": {
          "at": "2026-04-29 13:07:29.689431+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        }
      },
      {
        "to": 42,
        "from": 39,
        "loop": {
          "name": "47_quick_win_big_bet",
          "slug": "47-quick-win-big-bet",
          "status": "active",
          "bestFor": "Transformation planning, 100-day plans, resource allocation",
          "canonId": "019dd956-790d-708d-983e-ef9bbc68f741",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap",
          "description": "Separate initiatives into immediate wins and longer-term strategic bets",
          "familyLabel": null,
          "categoryName": "Consulting Framework",
          "categorySlug": "consulting-framework"
        },
        "matchId": "019dd95a-088b-72c8-b7e3-df07012b4595",
        "evidence": "p.39 lists 9 actions; p.40-42 sequence detailed measures by phase.",
        "position": 10,
        "objective": "Sequenced 9-action-area roadmap across Flatten/Fight/Future",
        "confidence": 80,
        "extraction": {
          "at": "2026-04-29 13:07:29.689431+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        }
      }
    ],
    "tools": [
      {
        "tool": {
          "name": "Pyramid Principle",
          "slug": "pyramid-principle",
          "status": "active",
          "bestFor": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.",
          "canonId": "019dd956-7cbd-7219-a477-c871e2bc1aff",
          "version": 1,
          "bodyDocId": "88b6ac56-b880-46f9-8621-ef3491ab6235",
          "description": "Lead with the answer; group three to five MECE supports beneath it; recurse one level down. Top-down hierarchical structure for any document with a single recommendation.",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Architect",
        "layer": "block",
        "agents": [
          "Architect"
        ],
        "matchId": "019dd95a-1321-706c-9a63-6e7be7f302f9",
        "evidence": "Top-down: 3 governing thoughts each backed by bullets.",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.",
        "confidence": 80,
        "extraction": {
          "at": "2026-04-29 13:07:32.384959+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 3,
        "whyItWorks": "Solves the two failure modes of expert communication at once: (1) the long climb where readers wait pages for the answer, and (2) logical mush from non-MECE groupings. Progressive disclosure lets a reader stop at any depth and get the right information.",
        "antipattern": "Chronological structure (\"what we did, what we found, what we conclude\") instead of logical hierarchy. Top-of-pyramid that is a topic (\"strategic options\") instead of an answer (\"pursue Option B because...\"). Non-MECE supports that overlap or fail to cover the universe.",
        "cardinality": null,
        "narrativePurpose": "Transfer conviction with minimum reader effort by mirroring how decision-makers consume information: answer first, scaffolding behind."
      },
      {
        "tool": {
          "name": "SCQA Framework",
          "slug": "scqa-framework",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-7bcb-763f-bdf6-1dfedf3bd36c",
          "version": 1,
          "bodyDocId": "019df22a-a0b0-719e-937e-2ac31e53d32c",
          "description": "Situation, Complication, Question, Answer - structured problem framing",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Architect",
        "layer": "block",
        "agents": [
          "Architect"
        ],
        "matchId": "019dd95a-1321-706c-9a63-69890b1edeef",
        "evidence": "Exec summary frames Situation-Complication-Resolution in three blocks.",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 75,
        "extraction": {
          "at": "2026-04-29 13:07:32.384959+00",
          "model": "claude-legacy",
          "runId": null,
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        },
        "pageNumber": 3,
        "whyItWorks": null,
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      {
        "tool": {
          "name": "Big Idea Formula",
          "slug": "big-idea-formula",
          "status": "active",
          "bestFor": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.",
          "canonId": "019dd956-7dd1-74d7-9866-ffdef19ecfbf",
          "version": 1,
          "bodyDocId": "c30d7484-69e0-4e21-82cf-20fa0966869e",
          "description": "Nancy Duarte's articulation of how to frame a presentation's central message: the speaker's unique point of view plus what's at stake for the audience, expressed as one complete declarative sentence. The narrative-driven counterpart to Minto's analytical governing thought.",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "block",
        "agents": [
          "Storyteller"
        ],
        "matchId": "019dd95a-1321-706c-9a63-762723733448",
        "evidence": "Three-phase Flatten/Fight/Future is the deck's organizing big idea.",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.",
        "confidence": 80,
        "extraction": {
          "at": "2026-04-29 13:07:32.384959+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 4,
        "whyItWorks": "Solves the topic-not-thesis trap and the stake-less recommendation trap simultaneously. A single declarative sentence with a verb forces the speaker's stance into the room; routing the consequence through the word 'you' translates internal urgency into the audience's currency. The result is short enough to be repeated after the meeting — and that repetition is the persuasion mechanism.",
        "antipattern": "A topic dressed as a thesis ('Sustainability Roadmap 2026'), a stake attached to the speaker rather than the audience, two ideas spliced with 'and', abstract verbs (leverage / unlock / empower) that survive deletion, or writing the Big Idea after the deck is already built so the slides don't actually defend it.",
        "cardinality": null,
        "narrativePurpose": "Forces the deck to commit to a single declarative thesis before slide one — a sentence that names the speaker's stance and routes a consequence through the audience's currency. Acts as the filter every slide, anecdote, and chart must ladder up to."
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      {
        "tool": {
          "name": "The Rule of Three",
          "slug": "the-rule-of-three",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8962-75cf-b4f8-9394501a6f33",
          "version": 1,
          "bodyDocId": null,
          "description": "Ideas presented in threes are more memorable and satisfying",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "block",
        "agents": [
          "Storyteller"
        ],
        "matchId": "019dd95a-1321-706c-9a63-81c641ecf388",
        "evidence": "Three named phases drive the framework.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 80,
        "extraction": {
          "at": "2026-04-29 13:07:32.384959+00",
          "model": "claude-legacy",
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        "pageNumber": 4,
        "whyItWorks": null,
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      {
        "tool": {
          "name": "Scenario planning",
          "slug": "scenario-planning",
          "status": "active",
          "bestFor": "Time horizon ≥12 months · ≥2 high-impact uncertainties that cannot be expressed as probability distributions · top two uncertainties roughly independent · team commits to revisit every 12–18 months. For shorter horizons use sensitivity analysis; for quantifiable risk use Monte Carlo; for one-dominant-uncertainty use cascade scenarios.",
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          "version": 1,
          "bodyDocId": "1b2fdf8f-9345-4d78-9875-7184e3da22ec",
          "description": "A structured way to think about the future when prediction is impossible. Build three to four distinct, internally-coherent stories of how the world could unfold, and stress-test strategy against each. The output is a set of named worlds the team can argue with — not a probability distribution.",
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        },
        "agent": null,
        "layer": "block",
        "agents": null,
        "matchId": "b9e09fc7-ddb2-4e48-b8b8-ee4566233e86",
        "evidence": "keyword-coverage: scenario, uncertainty",
        "pageRefs": [
          5
        ],
        "priority": null,
        "whenToUse": "Time horizon ≥12 months · ≥2 high-impact uncertainties that cannot be expressed as probability distributions · top two uncertainties roughly independent · team commits to revisit every 12–18 months. For shorter horizons use sensitivity analysis; for quantifiable risk use Monte Carlo; for one-dominant-uncertainty use cascade scenarios.",
        "confidence": 0.2,
        "extraction": {
          "at": "2026-05-04 12:22:11.319774+00",
          "model": "keyword-backfill-v1",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 5,
        "whyItWorks": "Solves the two failure modes of forecasting at once: being precisely wrong (point estimates anyone can falsify) and uselessly hedged (ranges so wide they cannot guide action). Scenarios commit to a small set of plausible worlds and crystallise strategy into no-regret moves, sequenced bets, and lose-everywhere moves to drop. Names + early signals + wind-vane triggers turn the exercise into a usable contingency plan.",
        "antipattern": "Best/base/worst case (three points on one axis, not four scenarios) · probability-weighted average of scenarios (collapses to expected value) · Goldilocks-spaced scenarios that rank good-to-bad · scenarios named \"Scenario A/B/C\" instead of world-shape names · 50-row Excel labelled as a scenario (model, not story) · scenarios without measurable early signals.",
        "cardinality": null,
        "narrativePurpose": "Force narrative discipline on multi-year decisions where single-point forecasts fail. Translate structural uncertainty into a small set of decision frames the boardroom can act on by name."
      },
      {
        "tool": {
          "name": "MECE Principle",
          "slug": "mece-principle",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-7c60-71a8-8758-c79d914489c9",
          "version": 1,
          "bodyDocId": null,
          "description": "Mutually Exclusive, Collectively Exhaustive - ensuring complete, non-overlapping structure",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Architect",
        "layer": "block",
        "agents": [
          "Architect"
        ],
        "matchId": "019dd95a-1321-706c-9a63-960c814f312f",
        "evidence": "Six distinct readiness categories under 2 buckets — collectively exhaustive.",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 90,
        "extraction": {
          "at": "2026-04-29 13:07:32.384959+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
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        },
        "pageNumber": 8,
        "whyItWorks": null,
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      },
      {
        "tool": {
          "name": "Three Pillars",
          "slug": "three-pillars",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-81ef-7455-a365-b234d95a6bbb",
          "version": 1,
          "bodyDocId": null,
          "description": "Three major supporting arguments that are MECE and address key concerns",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Architect",
        "layer": "block",
        "agents": [
          "Architect"
        ],
        "matchId": "019dd95a-1321-706c-9a63-9f21ceb94b24",
        "evidence": "Healthcare-readiness pillar split into 3 columns; mirrored on right.",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 60,
        "extraction": {
          "at": "2026-04-29 13:07:32.384959+00",
          "model": "claude-legacy",
          "runId": null,
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          "promptVersion": null
        },
        "pageNumber": 8,
        "whyItWorks": null,
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      },
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        "tool": {
          "name": "Scenario planning",
          "slug": "scenario-planning",
          "status": "active",
          "bestFor": "Time horizon ≥12 months · ≥2 high-impact uncertainties that cannot be expressed as probability distributions · top two uncertainties roughly independent · team commits to revisit every 12–18 months. For shorter horizons use sensitivity analysis; for quantifiable risk use Monte Carlo; for one-dominant-uncertainty use cascade scenarios.",
          "canonId": "019de52d-1eb5-7639-abaa-44d7f65af562",
          "version": 1,
          "bodyDocId": "1b2fdf8f-9345-4d78-9875-7184e3da22ec",
          "description": "A structured way to think about the future when prediction is impossible. Build three to four distinct, internally-coherent stories of how the world could unfold, and stress-test strategy against each. The output is a set of named worlds the team can argue with — not a probability distribution.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "block",
        "agents": null,
        "matchId": "13e43272-0bf9-4180-a35e-55cea5d6f30d",
        "evidence": "keyword-coverage: scenario, uncertainty",
        "pageRefs": [
          15
        ],
        "priority": null,
        "whenToUse": "Time horizon ≥12 months · ≥2 high-impact uncertainties that cannot be expressed as probability distributions · top two uncertainties roughly independent · team commits to revisit every 12–18 months. For shorter horizons use sensitivity analysis; for quantifiable risk use Monte Carlo; for one-dominant-uncertainty use cascade scenarios.",
        "confidence": 0.2,
        "extraction": {
          "at": "2026-05-04 12:22:11.319774+00",
          "model": "keyword-backfill-v1",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 15,
        "whyItWorks": "Solves the two failure modes of forecasting at once: being precisely wrong (point estimates anyone can falsify) and uselessly hedged (ranges so wide they cannot guide action). Scenarios commit to a small set of plausible worlds and crystallise strategy into no-regret moves, sequenced bets, and lose-everywhere moves to drop. Names + early signals + wind-vane triggers turn the exercise into a usable contingency plan.",
        "antipattern": "Best/base/worst case (three points on one axis, not four scenarios) · probability-weighted average of scenarios (collapses to expected value) · Goldilocks-spaced scenarios that rank good-to-bad · scenarios named \"Scenario A/B/C\" instead of world-shape names · 50-row Excel labelled as a scenario (model, not story) · scenarios without measurable early signals.",
        "cardinality": null,
        "narrativePurpose": "Force narrative discipline on multi-year decisions where single-point forecasts fail. Translate structural uncertainty into a small set of decision frames the boardroom can act on by name."
      },
      {
        "tool": {
          "name": "SCQA Framework",
          "slug": "scqa-framework",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-7bcb-763f-bdf6-1dfedf3bd36c",
          "version": 1,
          "bodyDocId": "019df22a-a0b0-719e-937e-2ac31e53d32c",
          "description": "Situation, Complication, Question, Answer - structured problem framing",
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          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Architect",
        "layer": "block",
        "agents": [
          "Architect"
        ],
        "matchId": "019dd95a-1321-706c-9a63-cb7921749a7f",
        "evidence": "Three-row structure: Flatten / Fight / Impact summarizes scenario logic.",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 70,
        "extraction": {
          "at": "2026-04-29 13:07:32.384959+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
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        },
        "pageNumber": 16,
        "whyItWorks": null,
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        "cardinality": null,
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      },
      {
        "tool": {
          "name": "Scenario planning",
          "slug": "scenario-planning",
          "status": "active",
          "bestFor": "Time horizon ≥12 months · ≥2 high-impact uncertainties that cannot be expressed as probability distributions · top two uncertainties roughly independent · team commits to revisit every 12–18 months. For shorter horizons use sensitivity analysis; for quantifiable risk use Monte Carlo; for one-dominant-uncertainty use cascade scenarios.",
          "canonId": "019de52d-1eb5-7639-abaa-44d7f65af562",
          "version": 1,
          "bodyDocId": "1b2fdf8f-9345-4d78-9875-7184e3da22ec",
          "description": "A structured way to think about the future when prediction is impossible. Build three to four distinct, internally-coherent stories of how the world could unfold, and stress-test strategy against each. The output is a set of named worlds the team can argue with — not a probability distribution.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "block",
        "agents": null,
        "matchId": "c46c48d1-0e31-416c-8d89-efd1869cf871",
        "evidence": "keyword-coverage: 2x2 matrix, scenario",
        "pageRefs": [
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        ],
        "priority": null,
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