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Citation 406

Bibliographic concordance score: 50/100 (low correspondence)

Citation source: INSTAGRAM, “Etude de cas: correction impérieuse”, published on 14 Oct 2025

This score (50%) describes the concordance of available metadata for the automated candidate; it is not a validation status.

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Cited reference

Uddin et al., 2013. Salience network dysfunction in autism spectrum disorders. Brain Struct Funct.

Best automated candidate

Ambiguous match

Uddin, Lucina Q. (2017). Salience Network Dysfunction. Salience Network of the Human Brain. https://doi.org/10.1016/b978-0-12-804593-0.00005-9

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 100.0% M1: Crossref Uddin, Lucina Q. (2017). Salience Network Dysfunction. Salience Network of the Human Brain. https://doi.org/10.1016/b978-0-12-804593-0.00005-9
M2: Google Scholar via SerpApi 11.1% M2: Google Scholar LQ Uddin; K Supekar; CJ Lynch (2013). Salience network-based classification and prediction of symptom severity in children with autism. JAMA.

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

Bibliographic concordance score calculation

Element Status Score Weight
Authors Concordant 100.0% 0.20
Title Concordant 100.0% 0.20
Year Non-concordant 0.0% 0.20
Journal Non-concordant 0.0% 0.20
DOI Not present (absent) - -

(Authors 100.0x0.20 + Title 100.0x0.20 + Year 0.0x0.20 + Journal 0.0x0.20) / evaluated weight 0.80 (DOI absent: 0.20 removed) = 50.0

Title correspondence details (Jaccard index)

Union: 3 words present in the titles
dysfunction; network; salience
Intersection: 3 shared words
dysfunction; network; salience
Words cited but absent from the matched title
-
Words from the matched title absent from the citation
-
Tolerance applied
domain equivalence tolerated: autism / autism spectrum condition(s) / autism spectrum disorder(s)
Index calculation
Jaccard index = intersection / union = 3 / 3 = 100.0 %
Jaccard index
100.0% (very high lexical similarity)

Possible correction

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