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A Machine Learning Framework for Assessing the Sensitivity of Regional Ocean Productivity to Climate Change.

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Title: A Machine Learning Framework for Assessing the Sensitivity of Regional Ocean Productivity to Climate Change.
Authors: Semeraro, Teodoro1 (AUTHOR), Titocci, Jessica1,2 (AUTHOR), Liberatore, Lorenzo1,3 (AUTHOR), Monti, Flavio2,4 (AUTHOR), Cazzetta, Armando1,3 (AUTHOR), Pinna, Maurizio2,3 (AUTHOR), Shokri, Milad3 (AUTHOR), Basset, Alberto1,3,4 (AUTHOR)
Source: Environments (2076-3298). Mar2026, Vol. 13 Issue 3, p137. 18p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 192664479
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Environments+%282076-3298%29%22">Environments (2076-3298)</searchLink>. Mar2026, Vol. 13 Issue 3, p137. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=192664479
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/environments13030137
    Languages:
      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 137
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      – TitleFull: A Machine Learning Framework for Assessing the Sensitivity of Regional Ocean Productivity to Climate Change.
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              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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