62 lines
1.2 KiB
Markdown
62 lines
1.2 KiB
Markdown
# Baseline Quality Levels
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**V_meta(s₀) thresholds and expected outcomes**
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---
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## Level 1: Excellent (0.60-1.0)
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**Characteristics**:
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- Comprehensive data analysis (ALL available data)
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- 70-80% initial coverage
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- Significant prior art borrowed (≥60%)
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- All automation identified upfront
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**Investment**: 6-10 hours
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**Outcome**: 3-4 iterations (rapid convergence)
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**Examples**: Bootstrap-003 (V_meta=0.758)
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---
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## Level 2: Good (0.40-0.59)
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**Characteristics**:
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- Thorough analysis (≥80% of data)
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- 50-70% initial coverage
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- Moderate borrowing (30-60%)
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- Top 3 automations identified
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**Investment**: 4-6 hours
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**Outcome**: 4-5 iterations
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**ROI**: 2-3x (saves 8-12 hours overall)
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---
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## Level 3: Fair (0.20-0.39)
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**Characteristics**:
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- Partial analysis (50-80% of data)
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- 30-50% initial coverage
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- Limited borrowing (<30%)
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- 1-2 automations identified
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**Investment**: 2-4 hours
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**Outcome**: 5-7 iterations (standard)
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---
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## Level 4: Poor (<0.20)
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**Characteristics**:
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- Minimal analysis (<50% of data)
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- <30% coverage
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- Little/no prior art research
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- Unclear automation
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**Investment**: <2 hours
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**Outcome**: 7-10 iterations (exploratory)
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---
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**Recommendation**: Target Level 2 (≥0.40) minimum for quality convergence.
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