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30. What do the researchers think of the finding?A.AmusingB. Promising.C. DiscouragingD. Contradictory31. What will Chicca’s follow-up study focus on?A. Inventing insect-like chips.B. Studying general-purpose robots.C. Creating insect-inspired computersD.Developing energy-efficient hardware.DAs artificial intelligence (AI) muscles its way into scientific writing, one researcher is fighting backwith a tool that could change the game.Large language models like ChatGPT continue becoming increasingly complex, and there's growingconcern about their potential misuse in academic and scientific circles. These models can produce textsthat mimic (模仿） human writing, raising fears about the integrity of scientific literature. Now,Professor Ahmed Abdeen Hamed at Binghamton University has developed a groundbreaking algorithm(算法） that might be the silver bullet in this important battle.Hamed created a detection tool xFakeSci.In a study, Hamed and his partner, Professor XindongWu from Hefei University of Technology in China, put xFakeSci through its paces. First, they usedChatGPT to generate 150 fake （假的） scientific abstracts,equally distributed across three medicaltopics:Alzheimer's, cancer, and depression. These AI-generated abstracts were then compared to anequal number of genuine scientific abstracts on the same topics. The xFakeSci algorithm was developedto analyze these texts, focusing on two main features: the frequency and distribution of bigrams (pairs ofwords that often appear together) and how these bigrams connect to other words and concepts in thetexts.The algorithm used machine-learning techniques to identify patterns that differentiate AI-generatedtexts from human-written scientific articles.The xFakeSci algorithm demonstrated an impressive accuracy rate of up to 94% in identifying AI-generated fake science, nearly doubling the success rate of conventional data-mining techniques. Itthe documents.The study primarily focused on scientific abstracts rather than full-length articles, which mightexhibit different patterns. Additionally,the study currently covers only three medical topics,and itsapplicability to other scientific fields remains to be tested. The researchers also acknowledge that evenwith its high accuracy, xFakeSci still misses 6% of fake papers, indicating room for improvement.With tools like xFakeSci, however, the scientific community is better equipped to face the challengehead-on, ensuring that the pursuit of knowledge remains firmly in human hands.32. What does the underlined phrase “silver bullet" mean in paragraph 2?A. Confusing result.B. Excellent solution.C. Clear explanation.D. Temporary chance33. What does paragraph 3 focus on?A. How xFakeSci was invented.B. How the study was conducted.C.How the research result was applied.D. How the fake abstracts were mimicked.34.What is the author's attitude to the study result?A. Tolerant.B. Unclear.C. Unfavorable.D. Objective.35. What's the best title for the text?A.xFakeSci: A Science GatekeeperB. AI Challenged by Fake xFakeSciC. AI Battles: AI's Long-Term ConflictsD.xFakeSci Improves Scientific Writing英语第5页（共8页）衡水金卷·先享题·高