Machine learning in scientific grant review: algorithmically predicting project efficiency in high energy physics

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dc.contributor.author Sikimic, Vlasta
dc.date.accessioned 2023-03-23T14:43:24Z
dc.date.available 2023-03-23T14:43:24Z
dc.date.issued 2022
dc.identifier.issn 1879-4912
dc.identifier.uri http://hdl.handle.net/10900/138535
dc.language.iso en de_DE
dc.publisher Springer de_DE
dc.relation.uri http://dx.doi.org/10.1007/s13194-022-00478-6 de_DE
dc.subject.ddc 900 de_DE
dc.title Machine learning in scientific grant review: algorithmically predicting project efficiency in high energy physics de_DE
dc.type Article de_DE
utue.quellen.id 20230202000000_01631
utue.personen.roh Sikimic, Vlasta
utue.personen.roh Radovanovic, Sandro
dcterms.isPartOf.ZSTitelID European Journal For Philosophy of Science de_DE
dcterms.isPartOf.ZS-Issue 3 de_DE
dcterms.isPartOf.ZS-Volume 12 de_DE
utue.fakultaet 06 Wirtschafts- und sozialwissenschaftliche Fakultät de_DE
utue.fakultaet 08 Zentrale, interfakultäre und fakultätsübergreifende Einrichtungen de_DE


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