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Fast, scalable, and automated identification of articles for biodiversity and macroecological datasets

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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly… Click to show full abstract

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2020 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd 1Institute of Zoology, Zoological Society of London, London, United Kingdom 2Department of Life Sciences, Natural History Museum, London, United Kingdom 3Department of Life Sciences, Imperial College London, Ascot, United Kingdom 4UNEP World Conservation Monitoring Centre, Cambridge, United Kingdom 5Cleo AI Ltd., London, United Kingdom

Keywords: united kingdom; london united; fast scalable; ecology

Journal Title: Global Ecology and Biogeography
Year Published: 2020

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