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dc.contributor.authorGundersen, Odd Erik
dc.date.accessioned2021-10-28T07:18:13Z
dc.date.available2021-10-28T07:18:13Z
dc.date.created2021-08-05T15:36:43Z
dc.date.issued2021
dc.identifier.issn1364-503X
dc.identifier.urihttps://hdl.handle.net/11250/2826147
dc.description.abstractReproducibility is a confused terminology. In this paper, I take a fundamental view on reproducibility rooted in the scientific method. The scientific method is analysed and characterized in order to develop the terminology required to define reproducibility. Furthermore, the literature on reproducibility and replication is surveyed, and experiments are modelled as tasks and problem solving methods. Machine learning is used to exemplify the described approach. Based on the analysis, reproducibility is defined and three different degrees of reproducibility as well as four types of reproducibility are specified.en_US
dc.language.isoengen_US
dc.publisherThe Royal Societyen_US
dc.titleThe fundamental principles of reproducibilityen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe published version of the article will not be available due to copyright restrictions by The Royal Societyen_US
dc.source.volume379en_US
dc.source.journalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciencesen_US
dc.source.issue2197en_US
dc.identifier.doihttps://doi.org/10.1098/rsta.2020.0210
dc.identifier.cristin1924200
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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