| 書目名稱 | Climate, Planetary and Evolutionary Sciences | | 副標題 | A Machine-Generated | | 編輯 | Guido Visconti | | 視頻video | http://file.papertrans.cn/228/227686/227686.mp4 | | 概述 | A Machine-Generated Literature Overview of climate, planetary and evolutionary sciences.An experimental text into machine generated and curated content.A starting guide to Climate, Planetary and Evolu | | 圖書封面 |  | | 描述 | .This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content, to Master- | | 出版日期 | Book 2021 | | 關鍵詞 | climate models; atmospheric composition; stochastic weather; maximum entropy production; astrobiology; ex | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-74713-8 | | isbn_softcover | 978-3-030-74715-2 | | isbn_ebook | 978-3-030-74713-8 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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