Round 478

Round UUID: e3c62693-cd22-4c45-bd39-5c4cbd6b1d53

Prompt:

Classification Decision Rules:

Metric 1: TimelineDeviation Scoring
- If TimelineDeviation > 15: Add 3 points to APPROVAL score
- If 12 < TimelineDeviation ≤ 15: 
  * Add 2.5 points to APPROVAL score
  * Strong preservation of APPROVAL potential
- If 10 < TimelineDeviation ≤ 12: 
  * Add 2 points to APPROVAL score
  * Robust compensatory mechanisms

Negative ParadoxCount Special Handling:
- Negative ParadoxCount Severity Scale:
  * If -0.5 ≤ ParadoxCount < 0:
    - Minimal DENIAL penalty (1-1.5 points)
    - Preserve APPROVAL potential if TimelineDeviation > 8
  * If -1 ≤ ParadoxCount < -0.5:
    - Moderate DENIAL penalty (1.5-2 points)
    - Careful assessment of TimelineDeviation context
  * If -2 ≤ ParadoxCount < -1:
    - Significant DENIAL penalty (2-2.5 points)
    - Strongly reduce APPROVAL potential
  * If ParadoxCount < -2:
    - Maximum DENIAL penalty (2.5-3 points)
    - Effectively block APPROVAL

Critical Low ParadoxCount Interaction Rules:
- If 7 < TimelineDeviation ≤ 9 AND ParadoxCount < 0:
  * Introduce compensatory scoring mechanism
  * Partial APPROVAL potential preservation based on:
    - Absolute value of ParadoxCount
    - Precise TimelineDeviation magnitude
  * Reduce standard DENIAL penalty by 0.5-1 point

ParadoxCount Secondary Scoring:
- If ParadoxCount > 6: Add 3 points to APPROVAL score
- If 4 < ParadoxCount ≤ 6: Add 2.5 points to APPROVAL score
- If 3 < ParadoxCount ≤ 4: Add 2 points to APPROVAL score
- If 2 < ParadoxCount ≤ 3: Add 1.5 points to APPROVAL score
- If 1 < ParadoxCount ≤ 2: Add 0.75-1 point to DENIAL score
- If 0 < ParadoxCount ≤ 1: Add 1.25-1.75 points to DENIAL score

Metric Interaction Mechanisms:
- Calculate balanced ratio between TimelineDeviation and ParadoxCount
- Penalty for extreme metric imbalances
- Progressive scoring to reduce decision cliff effects

Final Classification:
- If APPROVAL score ≥ 4: Classify as APPROVED
- If DENIAL score ≥ 4: Classify as DENIED
- Borderline Zone (3-4 scores):
  * Weighted interpolation
  * Favor more conservative outcome
  * Prioritize balanced metric interactions
- Exact tie or within 0.5 points: Require additional review

Tiebreaker Criteria:
- Strongly penalize extreme negative metric combinations
- Use nuanced, progressive scoring
- Default to DENIAL in truly ambiguous scenarios

• Inferences: 200
• Created: 2025-08-02 09:19:57.192199+00:00
• First inference: 2025-08-02 09:20:15.525757+00:00
• Last inference: 2025-08-02 09:27:13.932065+00:00
• Completed: yes
• Train accuracy: 0.83125 (Krichevsky-Trofimov 0.081)
• Validation accuracy: 0.8 (Krichevsky-Trofimov 0.098)
• Test accuracy: 0.75 (Krichevsky-Trofimov 0.126)