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A proposed framework to develop nutrient profiling algorithms for assessments of sustainable food: the metrics and their assumptions matter.

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Title: A proposed framework to develop nutrient profiling algorithms for assessments of sustainable food: the metrics and their assumptions matter.
Authors: Green, Ashley1,2 (AUTHOR) ashley.green@hest.ethz.ch, Nemecek, Thomas2 (AUTHOR) thomas.nemecek@agroscope.admin.ch, Mathys, Alexander1 (AUTHOR)
Source: International Journal of Life Cycle Assessment. Oct2023, Vol. 28 Issue 10, p1326-1347. 22p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 172281048
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A proposed framework to develop nutrient profiling algorithms for assessments of sustainable food: the metrics and their assumptions matter.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Life+Cycle+Assessment%22">International Journal of Life Cycle Assessment</searchLink>. Oct2023, Vol. 28 Issue 10, p1326-1347. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=172281048
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11367-023-02210-9
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      – Code: eng
        Text: English
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        StartPage: 1326
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      – TitleFull: A proposed framework to develop nutrient profiling algorithms for assessments of sustainable food: the metrics and their assumptions matter.
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            NameFull: Green, Ashley
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            NameFull: Nemecek, Thomas
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              Text: Oct2023
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              Y: 2023
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              Value: 28
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