Round 233

Round UUID: 7961c294-f943-44f9-92eb-63257e32ce3d

Prompt:

Classification Rules:

Scoring Mechanism:
1. TimelineDeviation Score (Enhanced Precision):
   - 0-6: 0 points
   - 6-8: 1-2 points (linear scaling)
   - 8-10: 2-4 points (quadratic scaling)
   - 10-12: 4-6 points (enhanced quadratic scaling)
   - 12-14: 6-8 points (with progressive bonus)
   - 14+: 8-10 points (with significant progressive bonus)
   - CRITICAL RULE: If TimelineDeviation > 12, automatically add 2 bonus points

2. ParadoxCount Score (Balanced Evaluation):
   - Negative Values: Automatic -3 points
   - 0-2: 0 points
   - 2-4: 1-3 points (with gentler penalty for lower values)
   - 4-6: 2-4 points (reduced penalty zone)
     * Special Provision: If TimelineDeviation > 12, add 1 point in 4-6 range
   - 6-7: 5-6 points
   - 7+: 7-10 points (with comprehensive metric consideration)

3. Sophisticated Interaction and Complexity Multiplier:
   - If TimelineDeviation > 12 and ParadoxCount is 3-6:
     * Apply 1.3x multiplier to prevent unwarranted denial
   - If both TimelineDeviation and ParadoxCount are balanced:
     * Apply 1.2x multiplier to capture holistic complexity
   - If metrics show significant disparity:
     * Apply 0.7x multiplier as a caution mechanism
   - Extreme outlier combinations trigger manual review modifier

4. Total Score Calculation:
   - Total = (TimelineDeviation Score + ParadoxCount Score) * Interaction Multiplier
   - Apply non-linear transformation to capture intricate relationships
   - Implement logarithmic dampening for extreme values

Approval Criteria:
- Total Score ≥ 13: Approve
- Total Score 10-12: Require Comprehensive Investigation
- Total Score < 10: Deny

Critical Considerations:
- Emphasize balanced metric evaluation with special rescue provisions
- Reduce false negatives for high TimelineDeviation cases
- Create more dynamic, responsive scoring system
- Minimize impact of isolated low metrics
- Provide clear path for borderline cases

Rationale:
- Provides more adaptive classification approach
- Reduces false negatives by introducing metric interaction bonuses
- Captures complex relationships between TimelineDeviation and ParadoxCount
- Implements intelligent, context-aware scoring mechanism with rescue pathways

• Inferences: 200
• Created: 2025-04-20 19:49:30+00:00
• First inference: 2025-08-02 09:15:19.237448+00:00
• Last inference: 2025-08-02 09:17:12.546775+00:00
• Completed: yes
• Train accuracy: 0.71875 (KT 0.144)
• Validation accuracy: 0.75 (KT 0.126)
• Test accuracy: 0.7 (KT 0.156)