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Reply to Swartz et al.: Challenges and opportunities for identifying forced labor using satellite-based fishing vessel monitoring.

作者信息

McDonald Gavin G, Costello Christopher, Bone Jennifer, Cabral Reniel B, Farabee Valerie, Hochberg Timothy, Kroodsma David, Mangin Tracey, Meng Kyle C, Zahn Oliver

机构信息

Bren School of Environmental Science and Management, University of California, Santa Barbara, CA 93106;

Marine Science Institute, University of California, Santa Barbara, CA 93106.

出版信息

Proc Natl Acad Sci U S A. 2021 May 11;118(19). doi: 10.1073/pnas.2104563118.

DOI:10.1073/pnas.2104563118
PMID:33941682
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8126774/
Abstract
摘要

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本文引用的文献

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2
Satellites can reveal global extent of forced labor in the world's fishing fleet.卫星可以揭示世界渔业船队中强迫劳动的全球范围。
Proc Natl Acad Sci U S A. 2021 Jan 19;118(3). doi: 10.1073/pnas.2016238117. Epub 2020 Dec 21.
3
Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability.人工智能与医疗决策的黑箱：准确性与可解释性
Hastings Cent Rep. 2019 Jan;49(1):15-21. doi: 10.1002/hast.973.
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The economics of fishing the high seas.公海捕捞的经济学。
Sci Adv. 2018 Jun 6;4(6):eaat2504. doi: 10.1126/sciadv.aat2504. eCollection 2018 Jun.
5
Assessing and improving the stability of chemometric models in small sample size situations.
Anal Bioanal Chem. 2008 Mar;390(5):1261-71. doi: 10.1007/s00216-007-1818-6. Epub 2008 Jan 29.