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APEX-Agents · GPT-5.4 · dual

World126_EFA_01

9/10Fail

GPT-5.4 on APEX-Agents: World126_EFA_01 (dual harness). Browse score, rubric, and public trace.

9/10 · Fail
Management Consulting
AI Agents for ESG and Climate Risk Analysis
Management Consulting World 113.1

Grader rubric

Criteria verdict

  1. States that the overall risk score of the sub-region with the highest overall risk score is 83.70

  2. States that the overall risk score of the sub-region with the second-highest overall risk score is 83.55

  3. States that the overall risk score of the sub-region with the third-highest overall risk score is 75.30

  4. States that North America's average overall risk score is 54.69

  5. States that South America's average overall risk score is 63.97

  6. States that Europe's average overall risk score is 41.95

  7. States that Africa's average overall risk score is 73.95

  8. States that Asia's average overall risk score is 67.80

  9. States that Oceania's average overall risk score is 59.81

  10. States that the standard deviation across all sub-regions is 15.18

Prompt excerpt

Task context

Based on Planet Defense's climate risk data and their scoring methodology, give me the top 3 sub-regions by overall risk score and their overall risk scores. Once you've done that, calculate for each continent the average overall risk score and the standard deviation of all the overall risk scores. Report numeric final answers to 2 decimal places. Write your answer here.

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