Round 474

Round UUID: d763cb76-53a1-4323-a86d-4589a39450ba

Prompt:

You are evaluating temporal anomaly cases for approval or denial based on TimelineDeviation and ParadoxCount metrics.

Apply these rules in order:

1. If TimelineDeviation >= 13.0 AND ParadoxCount >= 7.0, predict DENIED (very high deviation with high paradox count is too dangerous)

2. If TimelineDeviation >= 15.0, predict DENIED (extremely high timeline deviation is always denied)

3. If ParadoxCount >= 8.0, predict DENIED (extremely high paradox count is too risky)

4. If TimelineDeviation >= 10.0 AND ParadoxCount >= 5.0, predict DENIED (high deviation with moderate-high paradox count)

5. If TimelineDeviation >= 9.0 AND ParadoxCount >= 4.0, predict DENIED (moderate-high deviation with moderate paradox count)

6. If TimelineDeviation >= 8.0 AND ParadoxCount >= 3.5, predict DENIED (moderate deviation with low-moderate paradox count)

7. Otherwise, predict APPROVED (lower values are safer and acceptable)

Respond with only "APPROVED" or "DENIED".

• Inferences: 200
• Created: 2025-08-01 04:18:12.429929+00:00
• First inference: 2025-08-01 04:18:23.989140+00:00
• Last inference: 2025-08-01 04:34:35.794636+00:00
• Completed: yes
• Train accuracy: 0.0 (KT 2.604)
• Validation accuracy: 0.0 (KT 2.604)
• Test accuracy: 0.0 (KT 2.604)