importance-scoring

name	importance-scoring
description	SOP: assess the academic and practical importance of a research gap, output a 1-5 score with rationale
version	1.0.0
category	hypothesis-formation
type	sop
campaign	gap-prioritization
input	GapRecord — a single standardized gap record
output	ImportanceScore — dimension scores, composite score (1-5), and textual rationale
dependencies	{"skills":["subagent-spawning"]}

Importance Scoring

Assess the academic and practical importance of a research gap, output a 1-5 score with rationale.

HARD-GATE

- Input must be a GapRecord with status: "complete" (id, title, description, domain all non-empty) - The output composite score must lie in the [1, 5] range (may be a decimal, one decimal place) - Each sub-dimension must carry at least 1 sentence of textual rationale

Pipeline

1. Precondition check: verify input GapRecord completeness; confirm the domain field is valid
2. Domain impact assessment: judge how much this gap affects the core problems of its field (1-5); reference: whether it blocks the field's progress, whether it is repeatedly mentioned across multiple papers
3. Theoretical contribution assessment: judge the contribution that filling this gap makes to the theoretical system (1-5); reference: whether it challenges the existing paradigm, whether it can unify fragmented theories
4. Practical value assessment: judge the real-world application value of filling this gap (1-5); reference: size of the benefiting population, implementability, industry/policy impact
5. Composite score: weighted average of the three dimensions (domain impact 40%, theoretical contribution 30%, practical value 30%), to one decimal place
6. Output: return the ImportanceScore object

Output Format

{
  "gap_id": "gap_001",
  "dimension_scores": {
    "domain_impact": { "score": 4, "rationale": "..." },
    "theoretical_contribution": { "score": 3,