Publication
| Type of publication: | Article | |||||
| Entered by: | ||||||
| Title | AI-imputed and crowdsourced price data show strong agreement with traditional price surveys in data-scarce environments | |||||
| Bibtex cite ID | ADEWOPO:2025a | |||||
| Journal | PLoS ONE | |||||
| Year published | 2025 | |||||
| Volume | 20 | |||||
| Number | 4: e0320720 | |||||
| Pages | 1-28 | |||||
| ISSN | 1932-6203 | |||||
| Note | CAHub; Published April 8, 2025 | |||||
| URL | https://doi.org/10.1371/journal.pone.0320720 | |||||
| DOI | 10.1371/journal.pone.0320720 | |||||
| Peer Reviewed? | Yes | |||||
| In Thomson Index? | Yes | |||||
| Developing Country Author? | No | |||||
| Make Attachment Public? | TRUE | |||||
| Authors |
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| Topics | ||||||
| BibTeX | BibTeX | |||||
| RIS | RIS | |||||
| Total mark: | 5 | |||||
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