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Citation 83

Bibliographic concordance score: 26.7/100 (very low correspondence)

Citation source: TOOL BIBLIOGRAPHY, “ISPA Bibliographie et sources”, published on 27 Aug 2025

This score (26.7%) describes the concordance of available metadata for the automated candidate; it is not a validation status.

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Cited reference

Baron-Cohen et al. - 2001 - The “Reading the Mind in the Eyes” Test

Best automated candidate

Ambiguous match

Warrier, Varun; Bethlehem, Richard AI; Baron-Cohen, Simon (2017). The “Reading the Mind in the Eyes” Test (RMET). Encyclopedia of Personality and Individual Differences. https://doi.org/10.1007/978-3-319-28099-8_549-1

Verification links

Open automated candidate source Search the cited reference in Google Scholar

Candidate references (M1 and M2)

Method	Jaccard index	Source	Candidate reference
M1: Crossref, OpenAlex and PubMed	80.0%	M1: Crossref	Warrier, Varun; Bethlehem, Richard AI; Baron-Cohen, Simon (2017). The “Reading the Mind in the Eyes” Test (RMET). Encyclopedia of Personality and Individual Differences. https://doi.org/10.1007/978-3-319-28099-8_549-1
M2: Google Scholar via SerpApi	33.3%	M2: Google Scholar	S Baron-Cohen; S Wheelwright; J Hill (2001). The “Reading the Mind in the Eyes” test revised version: A study with normal adults, and adults with Asperger syndrome or high-functioning autism. https://doi.org/10.1111/1469-7610.00715

M1: Crossref is selected because it has the highest title Jaccard index.

Bibliographic concordance score calculation

Element	Status	Score	Weight
Authors	Non-concordant	0.0%	0.20
Title	Partial	80.0%	0.20
Year	Non-concordant	0.0%	0.20
Journal	Not present (absent)	-	-
DOI	Not present (absent)	-	-

(Authors 0.0x0.20 + Title 80.0x0.20 + Year 0.0x0.20) / evaluated weight 0.60 (Journal absent: 0.20 removed; DOI absent: 0.20 removed) = 26.7

Title correspondence details (Jaccard index)

Union: 5 words present in the titles: eyes; mind; reading; test; rmet
Intersection: 4 shared words: eyes; mind; reading; test
Words cited but absent from the matched title: -
Words from the matched title absent from the citation: rmet
Tolerance applied: -
Index calculation: Jaccard index = intersection / union = 4 / 5 = 80.0 %
Jaccard index: 80.0% (high lexical similarity)

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