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dc.contributor.authorSeeber, Marco
dc.contributor.authorAlon, Ilan
dc.contributor.authorPina, David G.
dc.contributor.authorPiro, Fredrik Niclas
dc.contributor.authorSeeber, Michele
dc.date.accessioned2022-11-17T12:03:52Z
dc.date.available2022-11-17T12:03:52Z
dc.date.created2022-09-22T10:37:51Z
dc.date.issued2022
dc.identifier.citationSeeber, M., Alon, I., Pina, D.G., Piro, F.N. & Seeber, M. (2022). Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model. Technological Forecasting and Social Change, 184, 1-16.en_US
dc.identifier.issn1873-5509
dc.identifier.urihttps://hdl.handle.net/11250/3032425
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titlePredictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning modelen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Author(s)en_US
dc.subject.nsiVDP::Samfunnsvitenskap: 200en_US
dc.source.pagenumber1-16en_US
dc.source.volume184en_US
dc.source.journalTechnological Forecasting and Social Changeen_US
dc.identifier.doihttps://doi.org/10.1016/j.techfore.2022.122009
dc.identifier.cristin2054220
dc.description.localcodePaid open accessen_US
dc.source.articlenumber122009en_US
cristin.qualitycode1


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