Beyond binary AI text detection: Partial authorship, source-text similarity, and an integrated threshold model of detectability

Publikáció:
Beyond binary AI text detection: Partial authorship, source-text similarity, and an integrated threshold model of detectability

dc.contributor.author	Füzesi, István
dc.contributor.author	Lengyel, Péter
dc.contributor.author	Pancsira, János
dc.date.accessioned	2026-11-05T13:15:28Z
dc.date.issued	2026
dc.date.oa	2026-11-11
dc.date.pasync	2026-11-12T00:07:48Z
dc.date.updated	2026-11-05T13:15:28Z
dc.description.corrector	SZNE
dc.identifier.citation	International Review of Applied Sciences and Engineering. -17 : 3 (2026), p. 455-470. -Int. rev. appl. sci. eng. - 2062-0810. - 2063-4269
dc.identifier.doi	https://dx.doi.org/10.1556/1848.2026.01535
dc.identifier.issn	2062-0810
dc.identifier.issn	2063-4269
dc.identifier.opac	https://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM140656
dc.identifier.uri	https://hdl.handle.net/2437/416421
dc.identifier.url	https://www.akjournals.com/view/journals/1848/17/3/article-p455.xml
dc.language	eng
dc.rights.access	open access journal
dc.rights.access	open access article
dc.rights.owner	Akadémiai Kiadó
dc.rights.owner	Szerző
dc.subject.mab	Társadalomtudományok
dc.subject.mab	Gazdálkodás- és szervezéstudományok
dc.title	Beyond binary AI text detection: Partial authorship, source-text similarity, and an integrated threshold model of detectability
dc.type	folyóiratcikk
dc.type	idegen nyelvű folyóiratközlemény hazai lapban
dspace.entity.type	Publication

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