feat: add confidence-scoring reference v1.0.0
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# Confidence Scoring Methodology
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How to assign and interpret confidence scores for generated brand guidelines.
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## Scoring Levels
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### High Confidence
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The guideline section is well-supported and actionable.
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**Criteria (must meet at least 3):**
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- 3+ corroborating sources
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- Explicit guidance found in at least one AUTHORITATIVE source
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- Consistent across document and conversation analysis
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- Specific, actionable instructions (not just vague principles)
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- No unresolved conflicts
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### Medium Confidence
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The section is reasonable but could benefit from more data or team confirmation.
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**Criteria (must meet at least 2):**
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- 1-2 corroborating sources
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- Inferred from patterns rather than explicit instruction
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- Minor inconsistencies resolved via recency or authority
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- Actionable but some interpretation was required
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- May have one unresolved conflict
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### Low Confidence
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The section is a best-effort recommendation. Team review strongly recommended.
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**Criteria (must meet at least 2):**
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- Single source only
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- Primarily inferred from indirect evidence
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- Significant interpretation required
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- Unresolved conflicts between sources
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- Limited specificity
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## Aggregate Confidence
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Calculate overall guideline confidence as the weighted average of section scores:
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| Section | Weight |
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|---------|--------|
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| Voice Attributes | 30% |
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| Messaging Framework | 25% |
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| Tone Matrix | 20% |
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| Terminology | 15% |
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| Language Patterns | 10% |
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Convert scores: High = 1.0, Medium = 0.6, Low = 0.3
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**Aggregate score thresholds:**
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- 0.85–1.0 = High
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- 0.60–0.84 = Medium
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- Below 0.60 = Low
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## Relationship to Open Questions
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- **Low confidence + conflict** = High Priority open question
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- **Low confidence + gap** = Medium Priority open question
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- **Medium confidence + minor inconsistency** = Low Priority open question
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Every open question includes a recommendation that, if confirmed, would raise the section's confidence score.
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