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

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