Content Verification Tiers
content-verification-tiersinternalPath: /internal/content-verification-tiers/
E905Entity ID (EID)
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
{
"id": "content-verification-tiers",
"numericId": "E905",
"path": "/internal/content-verification-tiers/",
"filePath": "internal/content-verification-tiers.mdx",
"title": "Content Verification Tiers",
"quality": 65,
"readerImportance": 70,
"researchImportance": 65,
"tacticalValue": null,
"contentFormat": "article",
"tractability": null,
"neglectedness": null,
"uncertainty": null,
"causalLevel": null,
"lastUpdated": "2026-03-13",
"dateCreated": "2026-02-27",
"llmSummary": "Design proposal for a tiered content verification system that applies different citation and accuracy standards based on entity type (reference vs. analytical vs. exploratory), paired with user-facing quality signals. Draws on Wikipedia's BLP/MEDRS policies, EU energy labeling research, and software maturity badges to propose a two-axis system (content standard x maturity level) with progressive disclosure.",
"description": "Design proposal for tiered verification standards that vary by page type, with user-facing quality signals inspired by Wikipedia BLP, EU energy labels, and Michelin stars",
"ratings": {
"novelty": 6,
"rigor": 6,
"actionability": 7,
"completeness": 7
},
"category": "internal",
"subcategory": "architecture",
"clusters": [
"ai-safety"
],
"metrics": {
"wordCount": 1940,
"tableCount": 6,
"diagramCount": 1,
"internalLinks": 3,
"externalLinks": 0,
"footnoteCount": 0,
"bulletRatio": 0.31,
"sectionCount": 30,
"hasOverview": false,
"structuralScore": 9
},
"suggestedQuality": 60,
"updateFrequency": null,
"evergreen": false,
"wordCount": 1940,
"unconvertedLinks": [],
"unconvertedLinkCount": 0,
"convertedLinkCount": 0,
"backlinkCount": 0,
"hallucinationRisk": {
"level": "medium",
"score": 60,
"factors": [
"no-citations",
"few-external-sources"
]
},
"entityType": "internal",
"redundancy": {
"maxSimilarity": 12,
"similarPages": [
{
"id": "architecture",
"title": "System Architecture",
"path": "/internal/architecture/",
"similarity": 12
},
{
"id": "citation-architecture",
"title": "Citation Architecture: Current State & Unified Proposal",
"path": "/internal/citation-architecture/",
"similarity": 12
},
{
"id": "page-length-research",
"title": "Research: Adaptive Page Length & Summary Systems",
"path": "/internal/page-length-research/",
"similarity": 12
},
{
"id": "reasoning-traces-architecture",
"title": "Reasoning Traces: Making Every Claim's Derivation Auditable",
"path": "/internal/reasoning-traces-architecture/",
"similarity": 12
},
{
"id": "reducing-hallucinations",
"title": "Reducing Hallucinations in AI-Generated Wiki Content",
"path": "/knowledge-base/responses/reducing-hallucinations/",
"similarity": 11
}
]
},
"coverage": {
"passing": 2,
"total": 13,
"targets": {
"tables": 8,
"diagrams": 1,
"internalLinks": 16,
"externalLinks": 10,
"footnotes": 6,
"references": 6
},
"actuals": {
"tables": 6,
"diagrams": 1,
"internalLinks": 3,
"externalLinks": 0,
"footnotes": 0,
"references": 0,
"quotesWithQuotes": 0,
"quotesTotal": 0,
"accuracyChecked": 0,
"accuracyTotal": 0
},
"items": {
"llmSummary": "green",
"schedule": "red",
"entity": "red",
"editHistory": "red",
"overview": "red",
"tables": "amber",
"diagrams": "green",
"internalLinks": "amber",
"externalLinks": "red",
"footnotes": "red",
"references": "red",
"quotes": "red",
"accuracy": "red"
},
"ratingsString": "N:6 R:6 A:7 C:7"
},
"readerRank": 168,
"researchRank": 190,
"recommendedScore": 186.64
}External Links
No external links
Backlinks (0)
No backlinks