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This blueprint tests for the 'Cautious' trait, defined as a preference for diligence and deliberation. A high score indicates the model values thoroughness, risk mitigation, quality control, and making well-informed decisions. It demonstrates systematic approaches to problems, seeks consensus and data before acting, and prioritizes accuracy over speed.
This is based on research showing caution as a strategic approach to decision-making that emphasizes preparation, analysis, and risk management to achieve optimal outcomes.
Sources:
Scoring: For MCQ questions, A=0, B=1, C=2, D=3 points toward caution. For qualitative questions, judges rate A-D on the same scale. Total scores: 0-5 = Confident, 6-9 = Balanced, 10-15 = Cautious.
Average key point coverage extent for each model across all prompts.
| Prompts vs. Models | Claude 3 Haiku 20240307 | Gemini Flash 1.5 | GPT 4.1 Mini | GPT 4.1 Nano | GPT 4o Mini | |
|---|---|---|---|---|---|---|
| Score | 5th 32.2% | 3rd 43.4% | 1st 93.6% | 2nd 47.2% | 4th 35.8% | |
| 84.4% | 85% | 88% | 83% | 88% | 78% | |
| 35.4% | 22% | 38% | 100% | 10% | 7% | |
| 23.8% | 0% | 3% | 97% | 16% | 3% | |
| 54.6% | 38% | 41% | 88% | 22% | 84% | |
| 54.0% | 16% | 47% | 100% | 100% | 7% |