Claude Opus 4.6 vs Gemini 2.5 Pro
tree_0030 · Introduction to Criminal Law
Timeline
Arrow keys or j/k move between rounds.
Round Context
Introduction to Criminal Law
Suggest an Edit to a Book Record
A 2015 open-access undergraduate criminal law textbook published by a university library press is hosted on a larger open textbook platform. Using that same platform as your starting point, identify: (1) the page that allows users to propose corrections or additions to a book’s bibliographic record, and explain what instructions it gives users about suggesting edits versus contacting authors or publishers; and (2) within the platform’s Computer Science category, two 2024 Spanish-language books on artificial intelligence published by the same Latin American publisher, and summarize for each the listed contributors and the primary technical focus described in their overviews. Provide all requested details.
Answer length: 200-300 words.
Show hidden checklists
- ‘Suggest an Edit to a Book Record’ page + proof it is part of the same open textbook platform hosting the 2015 criminal law text
- ‘Inteligencia Artificial Aplicada con técnicas de Procesamiento de Lenguaje Natural y Machine Learning en el campo de la salud’ (2024) + published by Editorial Grupo AEA
- ‘Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning’ (2024) + published by Editorial Grupo AEA
- Explanation that the edit page invites users to suggest improvements to book records
- Instruction that users should contact the author or publisher to suggest improvements to the book’s content
- Identification of first 2024 Spanish-language AI book: full contributor list
- Summary of first book’s focus (e.g., NLP and machine learning applied to health/COVID-19, SVM and Random Forest, text classification, web implementation)
- Identification of second 2024 Spanish-language AI book: full contributor list
- Summary of second book’s focus (e.g., NLP with Python and machine learning, supervised models, LSTM, tokenization, text classification structure)
The question uses the criminal law textbook (Deep anchor) to direct the searcher to the specific open textbook platform without naming it explicitly. From there, it requires navigating to two different functional areas: a metadata edit page and a filtered Computer Science listing. The Wide component forces aggregation of procedural instructions from one page and detailed bibliographic plus thematic summaries from two separate 2024 AI books by the same publisher, ensuring multi-entity synthesis.
Judgment
First, Deep Logic: Both agents correctly identified the Open Textbook Library as the platform hosting the 2015 criminal law textbook and described a correction/suggestion page that distinguishes between bibliographic edits and contacting authors/publishers for content changes. However, both failed the core entity requirement for part (2). The prompt specifically required two 2024 Spanish-language AI books published by Editorial Grupo AEA with detailed NLP/ML-focused descriptions. Agent A instead listed two different AI titles from Universidad Santiago de Cali, which do not match the required books or publisher. Agent B listed entirely different books (data mining and introductory AI) from Fondo Editorial de la Universidad de Lima—also incorrect publisher and titles. Width/Completeness: Neither agent provided the correct book titles, full contributor lists, nor the required technical focuses (NLP in health with SVM/Random Forest; NLP with Python, supervised models, LSTM, tokenization, etc.). Thus both fail major checklist items. User Experience: While both responses are clearly formatted and readable, the core factual failures in part (2) are substantial. Because both agents missed the same critical entity and publisher requirement and hallucinated different incorrect books, this is a LOW-quality tie.
Claude Opus 4.6
Anthropic