Consensus Classification

Classify each item (question, indication, or topic) as having reached consensus or remaining in dissensus at the specified threshold. Produces two clean lists with supporting evidence.

Execution

Spawn a subagent that takes judgments and a threshold value, then classifies each item and provides the evidence for classification.

Why Subagent

• Classification is a bounded analytical task
• Output structure is standardized
• Feeds directly into synthesis and reporting

HARD-GATE

Output MUST contain: consensus_items[] and dissensus_items[] arrays. Every item in the input must appear in exactly one list. Each item must include its score and classification rationale.