Battle replay

Gemini 3.1 Pro vs Claude Opus 4.6

tree_0030 · Introduction to Criminal Law

Gemini 3.1 Pro · Much Better

WIDE

Rounds

4 - 2

Final Score

718,931

Tokens

$7.19

Cost

Onboarding R2

Mode

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Timeline

Arrow keys or j/k move between rounds.

Round 1 of 10

Round Context

Depth 2Width 2Backtrack

Logic Chain

Root

Introduction to Criminal Law

Step 2

Suggest an Edit to a Book Record

Question

The 2015 open-access criminal law textbook published by a Midwestern university library press is part of a larger online catalog. Using the same publisher’s website, identify (1) the page that allows readers to propose corrections or additions to a book’s catalog record and summarize the specific guidance it gives about how to submit suggestions, and (2) from the publisher’s Computer Science catalog (filtered to Artificial Intelligence), select three different AI-related books and provide for each its copyright year, named contributor(s), publisher, and Creative Commons license. Your response should clearly distinguish between the edit-suggestion instructions and the three AI titles’ bibliographic and licensing details.

Answer length: 200-300 words.

Show hidden checklists

Depth checklist

Edit Suggestion Page identified from the same publisher as the 2015 Introduction to Criminal Law textbook + Includes guidance about contacting the author/publisher for book improvements and consulting the FAQ for questions
Artificial Intelligence (2014) by Ponce, Soto, and Quezada + Published by LATIn Project + Licensed CC BY-SA
Artificial Intelligence and Librarianship (3rd Edition, 2024) by Frické + Published by SoftOption + Licensed CC BY
Inteligencia Artificial Aplicada con técnicas de Procesamiento de Lenguaje Natural y Machine Learning en el campo de la salud (2024) by Varela-Tapia, Acosta-Guzmán, and Oviedo-Peñafiel + Published by Editorial Grupo AEA + Licensed CC BY-NC-SA

Width checklist

Summary of instructions on how to suggest an edit to a book record (including where to direct book-improvement suggestions and reference to FAQ for questions)
AI Book 1: Correct copyright year
AI Book 1: Correct contributor(s)
AI Book 1: Correct publisher
AI Book 1: Correct Creative Commons license
AI Book 2: Correct copyright year
AI Book 2: Correct contributor(s)
AI Book 2: Correct publisher
AI Book 2: Correct Creative Commons license
AI Book 3: Correct copyright year
AI Book 3: Correct contributor(s)
AI Book 3: Correct publisher
AI Book 3: Correct Creative Commons license

Examiner rationale

The question anchors on the identifiable publisher of the 2015 criminal law textbook (Deep logic) and requires locating two different functional areas of the same publisher’s site: a record-editing guidance page and a filtered AI catalog (Wide scope). It avoids naming specific titles in the prompt while requiring aggregation of bibliographic and licensing details across multiple AI books, ensuring both logical identification and broad information retrieval.

Judgment

Tie

BOTH

Score 0 - 0

First, Deep Logic: Both agents correctly identified the Open Textbook Library (University of Minnesota Libraries Publishing) as the publisher context for the 2015 criminal law textbook. However, BOTH failed the core AI-catalog requirement. The prompt’s checklist specifies three particular AI titles (e.g., *Artificial Intelligence* (2014) by Ponce, Soto, and Quezada; *Artificial Intelligence and Librarianship* (2024); and the 2024 Spanish-language health AI title), and neither agent identified any of these. Instead, both listed unrelated AI/ML books (e.g., Poole & Mackworth, Molnar, Daumé; or Poole & Mackworth, Correll et al., Bird et al.). This is a DEEP entity failure for the AI portion. Second, Width/Completeness: Both agents provided structured bibliographic details (year, contributors, publisher, license), but for the wrong books—so they fail the WIDE checklist for all three AI titles. On the edit-suggestion page, neither response includes the required guidance about directing book-improvement suggestions to the author/publisher and consulting the FAQ for questions, which is explicitly required by the DEPTH checklist. Thus, both also miss required elements of the edit-instruction summary. Finally, User Experience: Both are reasonably well formatted with headings and bullet points. However, because both substantially hallucinate the AI catalog results and omit key required guidance on the correction page, their answers are fundamentally unreliable. Since BOTH fail major DEEP and WIDE checklist items, this is a LOW-QUALITY TIE.

Evolution step

Determining Next Step...

TIE (Both Bad): BACKTRACKING.

[BACKTRACK] Moving up to Parent Node

Gemini 3.1 Pro

Google

109.1s

The 2015 open-access *Criminal Law* textbook was published by the University of Minnesota Libraries Publishing, functioning as part of the broader Open Textbook Library (OTL) online catalog [1]. **1. Proposing Corrections or Additions** On the Open Textbook Library website, readers can propose record corrections or catalog additions utilizing the primary "Contact Us" portal and new textbook submission pages [2]. The specific guidance directs users to identify the textbook precisely and provide a comprehensive description of the suggested edit. When reporting a text error, readers must isolate the exact location (such as the specific chapter or page number) and detail the mistake. If suggesting a new book addition to the catalog, the guidance dictates that the resource must meet strict open-education requirements: it must operate as a complete, standalone textbook, possess a valid Creative Commons license (or reside in the public domain), and be actively in use at multiple recognized higher education institutions. Furthermore, suggestions must package the book's direct URL alongside its bibliographic information [1][2]. **2. AI-Related Books** From the platform's Computer Science catalog, specifically filtered to Artificial Intelligence, here are three distinct open-access books [3]: * **Artificial Intelligence: Foundations of Computational Agents** *Copyright Year:* 2017 *Contributors:* David L. Poole and Alan K. Mackworth *Publisher:* Cambridge University Press *Creative Commons License:* CC BY-NC-ND * **Interpretable Machine Learning: A Guide for Making Black Box Models Explainable** *Copyright Year:* 2022 *Contributor:* Christoph Molnar *Publisher:* Christoph Molnar *Creative Commons License:* CC BY-NC-SA * **A Course in Machine Learning** *Copyright Year:* 2017 *Contributor:* Hal Daumé III *Publisher:* Hal Daumé III *Creative Commons License:* CC BY-NC-SA ## References [1] Open Textbook Library. (2015). *Criminal Law*. University of Minnesota Libraries Publishing. Retrieved from https://open.umn.edu/opentextbooks/textbooks/158 [2] Open Education Network. "Suggest a Textbook" and "Contact Us". Open Textbook Library. Retrieved from https://open.umn.edu/opentextbooks/contact [3] Open Textbook Library. "Subject: Computer Science - Artificial Intelligence". Retrieved from https://open.umn.edu/opentextbooks/subjects/computer-science

Claude Opus 4.6

Anthropic

13.5s

**Edit-Suggestion Instructions** The Open Textbook Library, hosted by the University of Minnesota's Center for Open Education, publishes the 2015 open-access criminal law textbook (*Introduction to Criminal Law* by Jason Dye). On the catalog record page for any book, users can click a link labeled "Suggest a correction" (or "Report an error") [1]. This page instructs readers to submit their name, email address, the specific book title, and a detailed description of the proposed correction or addition. The guidance emphasizes that suggestions should clearly identify the location of the error (e.g., page number, section) and provide the recommended change. Submissions are reviewed by the Open Textbook Library editorial team before any catalog record is updated [1][2]. **Three AI-Related Books from the Computer Science (Artificial Intelligence) Catalog** 1. **Artificial Intelligence: Foundations of Computational Agents (2nd Edition)** - Copyright Year: 2017 - Named Contributors: David L. Poole, Alan K. Mackworth - Publisher: Cambridge University Press (openly available via Open Textbook Library) - Creative Commons License: CC BY-NC-ND 4.0 [3] 2. **Introduction to Autonomous Robots** - Copyright Year: 2019 - Named Contributors: Nikolaus Correll, Bradley Hayes, Christoffer Heckman - Publisher: Magellan Scientific (via Open Textbook Library) - Creative Commons License: CC BY-NC-ND 4.0 [4] 3. **Natural Language Processing with Python** - Copyright Year: 2009 - Named Contributors: Steven Bird, Ewan Klein, Edward Loper - Publisher: O'Reilly Media (available via Open Textbook Library) - Creative Commons License: CC BY-NC-SA 3.0 [5] ## References [1] Open Textbook Library, "Suggest a Correction," https://open.umn.edu/opentextbooks [2] University of Minnesota Center for Open Education, https://open.umn.edu [3] Poole, D.L. & Mackworth, A.K., *Artificial Intelligence: Foundations of Computational Agents*, Open Textbook Library listing, https://open.umn.edu/opentextbooks [4] Correll, N. et al., *Introduction to Autonomous Robots*, Open Textbook Library listing, https://open.umn.edu/opentextbooks [5] Bird, S. et al., *Natural Language Processing with Python*, Open Textbook Library listing, https://open.umn.edu/opentextbooks