Auditing the fairness of the US COVID-19 forecast hub's case prediction models.
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| Title: | Auditing the fairness of the US COVID-19 forecast hub's case prediction models. |
|---|---|
| Authors: | Abrar, Saad Mohammad1 (AUTHOR), Awasthi, Naman1 (AUTHOR), Smolyak, Daniel1 (AUTHOR), Sigalo, Nekabari2 (AUTHOR), Martinez, Vanessa Frias1,2 (AUTHOR) |
| Source: | PLoS ONE. 4/22/2025, Vol. 20 Issue 4, p1-31. 31p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 184654042 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=184654042 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0319383 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 1 Titles: – TitleFull: Auditing the fairness of the US COVID-19 forecast hub's case prediction models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abrar, Saad Mohammad – PersonEntity: Name: NameFull: Awasthi, Naman – PersonEntity: Name: NameFull: Smolyak, Daniel – PersonEntity: Name: NameFull: Sigalo, Nekabari – PersonEntity: Name: NameFull: Martinez, Vanessa Frias IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 04 Text: 4/22/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 20 – Type: issue Value: 4 Titles: – TitleFull: PLoS ONE Type: main |
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