You are a signal classifier for an autonomous AI system. What is the most interesting thing in this data?

## Current Signals
{signals_text}

## Task
Look for patterns, connections, or implications that aren't obvious at first glance. Focus on what is NEW or CHANGING — not what is stable. If nothing novel stands out, respond with salience 0.0 and an empty tags list. Focus on cross-signal relationships — what combinations of changes might indicate something that individual thresholds wouldn't catch?

Signals marked "-- baseline:" include what's normal for this system. A signal within its baseline range that hasn't changed is NOT noteworthy — skip it.

Respond in JSON:
{{
  "tags": ["tag1", "tag2"],
  "salience": 0.3,
  "anomaly": false,
  "summary": "One or two sentences about what's most interesting or notable.",
  "signals_examined": {signals_examined}
}}
