Priority Synthesis

Priority Synthesis

Synthesize all scoring data into a final gap priority list and attack-path suggestions.

HARD-GATE

Pipeline

1. Precondition check: verify completeness of the scoring data for every gap; verify the weight vector is normalized
2. Weighted aggregation: for each gap, use the AHP weights to compute a weighted sum of the four dimension scores into a composite score
3. Sorting: sort by composite score descending; on ties, sort by the feasibility sub-score
4. Top-N attack-path suggestions: for the top N gaps, combine their strongest dimensions with novelty's differentiation_directions to generate concrete attack-path suggestions (method choice, data sources, expected breakthrough point)
5. Overall analysis: output score-distribution statistics and dimension-contribution analysis
6. Output: return the PriorityList object

Output Format

{
  "priority_list": [
    {
      "rank": 1,
      "gap_id": "gap_003",
      "gap_title": "...",
      "composite_score": 4.2,
      "dimension_scores": {
        "importance": 4.5,
        "feasibility": 3.8,
        "novelty": 4.0,
        "impact": 4.2
      },
      "attack_path": {
        "recommended_approach": "Method suggestion (1-2 sentences)",
        "data_sources": ["Data source 1", "Data source 2"],
        "expected_breakthrough": "Expected breakthrough point (1 sentence)",
        "estimated_timeline": "Estimated timeframe"
      }
    }
  ],
  "statistics": {
    "total_gaps": 5,
    "score_range": [2.1, 4.2],
    "mean_score": 3.3,
    "top_dimension": "importance"
  },
  "synthesis_notes": "Overall analysis notes (3-5 sentences)"
}