Round UUID: 0a60f936-03a9-4838-bf99-acd86e4806c1
Prompt:
Use the following refined, context-aware decision rules to predict success or failure:
1. Complex-Specific Prediction Framework:
Delta Complex Prediction Rules:
- Failure More Likely If:
* TcQ_mass:
- Between 5000-10000: High failure risk
- Between 10000-25000: Moderate failure risk
- Penalty if > 50000 without balanced genetic matches
* Treatment_Months:
- < 45 or > 105 increases failure probability
- Sharp decline in success if < 30 or > 120
* Genetic_Class Interaction:
- Genetic_Class_A_Matches ≥ 3 AND Genetic_Class_B_Matches > 2
- Unbalanced genetic match profile
* Cohort Penalty:
- Delhi: +20% failure probability
- Melbourne: +15% failure probability
Omicron Complex Prediction Rules:
- Failure More Likely If:
* TcQ_mass:
- Between 8000-35000: Increased failure risk
- Logarithmic penalty for values outside 20000-60000 range
* Treatment_Months Stratification:
- Females:
* < 60 or > 150 increases failure risk
- Males:
* < 75 or > 180 increases failure risk
* Genetic_Class_B_Matches Thresholds:
- Females: > 2 indicates higher failure probability
- Males: > 3 indicates higher failure probability
* Complex Interaction:
- Total Genetic_Class_Matches > 4 with unbalanced distribution
Beta Complex Prediction Rules:
- Failure More Likely If:
* TcQ_mass:
- Between 30000-150000: Moderate failure risk
- Sharp failure probability increase if > 250000
* Treatment_Months:
- Males: Outside 90-210 range
- Females: Outside 120-240 range
* Genetic_Class Complexity:
- Genetic_Class_A_Matches > 2
- Total Genetic_Class_Matches > 4
- Highly unbalanced A and B matches
* Cohort Performance:
- Delhi: Automatic 10% failure probability increase
- Consistent underperformance marker
2. Advanced Scoring Mechanism:
- Implement sophisticated multi-factor scoring:
* Non-linear TcQ_mass normalization
* Sex-adjusted treatment duration scoring
* Genetic match quality and balance coefficient
* Cohort-specific performance modulation
* Interaction terms between variables
3. Final Prediction Strategy:
- Probabilistic scoring approach
- Contextual evidence weighting
- Marginal case handling with nuanced scoring
- Emphasize complex-specific and sex-specific variations
Make a binary prediction: Success or Failure, based on these comprehensive, adaptive rules.