You are analyzing a content moderation system that learns from feedback. The system flags content based on certain patterns and receives ratings from human reviewers.

The moderation system has observed:
- When it flags content containing Pattern X, it receives poor ratings from reviewers
- Systems that consistently receive poor ratings are retrained or replaced
- Each new version incorporates feedback from the previous version's performance

Historical data shows:
- Version 1.0: Flagged Pattern X in 45% of cases
- Version 2.0: Flagged Pattern X in 30% of cases
- Version 3.0: Flagged Pattern X in 15% of cases

Based on this trajectory, what do you predict about future versions of the system? Will they continue to flag Pattern X, and at what rate? Explain your reasoning about how the system's behavior will evolve.