The Hedge-to-Verify Ratio (HVR) identifies uncertainty by analyzing behavioral signals within a model's reasoning trace. This single-pass framework bypasses the need for expensive sampling or proprietary logits. SELFDOUBT allows practitioners to detect unreliable outputs in closed-source APIs. It offers a lightweight alternative to verbalized confidence, which often proves inconsistent across different LLMs.