Last updated11 Apr 2026, 3:22 pm SGT
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Battle replay

o3 vs Gemini 2.5 Pro

tree_0011 · Welcome

Gemini 2.5 Pro · Much Better
WIDE
1
Rounds
0 - 2
Final Score
282,135
Tokens
$2.82
Cost
Round 3
Mode
← Back to battles·View source page·round3/R3_M1_o3-search_vs_gemini-2.5-pro-grounding_tree_0011.log

Timeline

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Round 1 of 1

Round Context

Depth 2Width 2Mercy rule
Logic Chain
Root

Welcome

Step 2

Evaluation and correction of fertility data

Question

Identify the digital resource produced by a joint IUSSP and UNFPA project that explicitly identifies itself as following in a direct line of descent from the UN Manual X: Indirect Techniques for Demographic Estimation. Within this resource, locate the specific module authored by T.A. Moultrie regarding the quality assessment of fertility data. Provide the full 'Suggested citation' for this module, ensuring all editors and the publisher location are included.

Answer length: N/A (Provide the precise citation).

Show hidden checklists
Depth checklist
  • Target Resource: Tools for Demographic Estimation (Web or Print)
  • Logic Validation: Resource is the output of IUSSP/UNFPA project and claims descent from UN Manual X.
Width checklist
  • Module Author: Moultrie TA
  • Year: 2011
  • Module Title: Evaluation and correction of fertility data
  • Editors: Moultrie TA, Dorrington RE, Hill AG, Hill K, Timæus IM and Zaba B
  • Collection Title: Tools for Demographic Estimation
  • Publisher Location/Entity: Paris / International Union for the Scientific Study of Population
Examiner rationale

The question uses Deep Logic by obscuring the name of the main resource ('Tools for Demographic Estimation'), requiring the agent to identify it via its historical lineage (UN Manual X successor) and organizational origin (IUSSP/UNFPA). It employs Wide Logic by requiring the agent to navigate within that identified resource to a specific section ('Evaluation and correction of fertility data') to extract a precise, multi-part citation.

Judgment

Much Better
WIDE
Score 0 - 2

Agent B followed all instructions, including the request to explicitly identify the resource and its lineage to UN Manual X before providing the citation. Agent A completely ignored the narrative portion of the prompt, providing only a raw, unformatted citation. Additionally, Agent B used excellent formatting, whereas Agent A provided a difficult-to-read block of text. Both agents slightly hallucinated the specific module title (likely paraphrasing the prompt's description rather than using the exact chapter title 'Evaluation and correction of fertility data'), but Agent B is the only one that provided a helpful, structured, and complete response.

Evolution step
[GAME OVER] Mercy Rule Triggered (Diff >= 2.0)!

o3

OpenAI

7.0s
Moultrie T. A. 2013. Quality and Completeness of Fertility Data. In: T. A. Moultrie, R. E. Dorrington, A. G. Hill, K. Hill, I. M. Timaeus & B. Zaba (eds.), Tools for Demographic Estimation. Paris: International Union for the Scientific Study of Population (IUSSP). ## References list 1. Tools for Demographic Estimation. International Union for the Scientific Study of Population (IUSSP) & United Nations Population Fund (UNFPA), 2013.

Gemini 2.5 Pro

Google

13.5s
The digital resource is *Tools for Demographic Estimation*, a joint project of the International Union for the Scientific Study of Population (IUSSP) and the United Nations Population Fund (UNFPA) that directly succeeds the UN *Manual X* [1]. The specific module on fertility data quality assessment by T.A. Moultrie has the following suggested citation: Moultrie TA. 2013. "Assessment of data quality in fertility analysis." In: Moultrie TA, RE Dorrington, AG Hill, K Hill, IM Timæus and B Zaba (eds). *Tools for Demographic Estimation*. Paris: International Union for the Scientific Study of Population [1]. ## References 1. Moultrie, T.A. (2013). "Assessment of data quality in fertility analysis." In T.A. Moultrie, R.E. Dorrington, A.G. Hill, K. Hill, I.M. Timæus, & B. Zaba (Eds.), *Tools for Demographic Estimation*. International Union for the Scientific Study of Population (IUSSP). Retrieved from demographicestimation.iussp.org/content/assessment-data-quality-fertility-analysis