Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates.
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| Title: | Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates. |
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| Authors: | Greenhill S; Department of Agricultural and Resource Economics, University of California, Berkeley, Berkeley, CA 94720, USA.; Goldman School of Public Policy, University of California, Berkeley, Berkeley, CA 94720, USA., Druckenmiller H; Resources for the Future, Washington, DC 20036, USA.; Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA., Wang S; Goldman School of Public Policy, University of California, Berkeley, Berkeley, CA 94720, USA.; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.; Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA 02139, USA., Keiser DA; Department of Resource Economics, University of Massachusetts, Amherst, Amherst, MA 010013, USA.; Center for Agricultural and Rural Development, Iowa State University, Ames, IA 50011, USA.; National Bureau of Economic Research, Cambridge, MA 02139, USA., Girotto M; Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA 94720, USA., Moore JK; US Department of Energy, Washington, DC 20585, USA., Yamaguchi N; School of Information, University of California, Berkeley, Berkeley, CA 94720, USA., Todeschini A; School of Information, University of California, Berkeley, Berkeley, CA 94720, USA., Shapiro JS; Department of Agricultural and Resource Economics, University of California, Berkeley, Berkeley, CA 94720, USA.; National Bureau of Economic Research, Cambridge, MA 02139, USA.; Department of Economics, University of California, Berkeley, Berkeley, CA 94720, USA. |
| Source: | Science (New York, N.Y.) [Science] 2024 Jan 26; Vol. 383 (6681), pp. 406-412. Date of Electronic Publication: 2024 Jan 25. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 0404511 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9203 (Electronic) Linking ISSN: 00368075 NLM ISO Abbreviation: Science Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1095-9203 |
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| DOI: | 10.1126/science.adi3794 |
