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Hidden Artificial Intelligence in Science: Capabilities and Limitations of Entropy Analysis of Generated Texts (A Case Study of the Sber GigaChat AI Model)

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Τίτλος: Hidden Artificial Intelligence in Science: Capabilities and Limitations of Entropy Analysis of Generated Texts (A Case Study of the Sber GigaChat AI Model)
Συγγραφείς: Selyukov, A. S.Aff1, IDS0147688226700085_cor1, Malova, N. N.Aff1, IDS0147688226700085_cor2, Hecht, M. E.Aff2, IDS0147688226700085_cor3
Πηγή: Scientific and Technical Information Processing. 53(2):95-100
Βάση Δεδομένων: Springer Nature Journals
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  Data: <i>Scientific and Technical Information Processing</i>. 53(2):95-100
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        Value: 10.3103/s0147688226700085
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      – Text: English
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      – TitleFull: Hidden Artificial Intelligence in Science: Capabilities and Limitations of Entropy Analysis of Generated Texts (A Case Study of the Sber GigaChat AI Model)
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              Y: 2026
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