hypothesis-formation-novelty-scoring

name	hypothesis-formation-novelty-scoring
description	SOP: Assess the novelty potential of a research gap, identify differentiation directions, and output a score
version	1.0.0
category	hypothesis-formation
type	sop
campaign	gap-prioritization
input	GapRecord — a single standardized gap record
output	NoveltyScore — includes dimension scores, composite score (1-5), list of differentiation directions, and rationale
dependencies	{"sops":["hypothesis-formation-paper-research","hypothesis-formation-paper-search","hypothesis-formation-web-research","hypothesis-formation-web-search"]}

Novelty Scoring

Assess the novelty potential of a research gap, identify differentiation directions, and output a score.

HARD-GATE

- Input must be a GapRecord with status: "complete" - The output composite score must be within the interval [1, 5] - The differentiation_directions list must not be empty (at least 1 entry) - Each sub-dimension must be accompanied by at least 1 sentence of textual rationale

Pipeline

1. Precondition check: Verify the completeness of the input GapRecord; extract keywords for literature scanning
2. Existing-work scan: Use literature-engine and web-browsing to retrieve recent work (past 3 years) directly related to the gap; record existing solutions and partial solutions
3. Differentiation-space identification: Compare existing work against the gap's full requirements to identify angles not yet covered (methods, data, problem setup, evaluation dimensions, etc.)
4. Innovation-potential assessment: Judge the likelihood of producing a genuinely novel contribution within the differentiation space (1-5); consider: size of the white space, competition density
5. Frontier assessment: Judge whether the gap is at the frontier of the field rather than already well-studied (1-5)
6. Composite scoring: Equal-weight average of the two dimensions, keeping one decimal place; list specific differentiation directions
7. Output: Return the NoveltyScore object

Output Format

{
  "gap_id": "gap_001",
  "existing_work_summary": "Brief summary of existing work (2-3 sentences)",
  "dimension_scores": {
    "innovation_potential": { "score": 4, "rationale": "..." }