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Citation 197

Bibliographic concordance score: 12.5/100 (very low correspondence)

Citation source: BLOG, “Burn-out autistique: quand le quotidien devient trop lourd”, published on 3 Jul 2025

This score (12.5%) describes the concordance of available metadata for the automated candidate; it is not a validation status.

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Cited reference

Higgins, J. M., Arnold, S. R. C., & Weise, J. (2021). "Autistic burnout: An identity-based conceptual model". Autism in Adulthood.

Best automated candidate

No validated match

Arnold, Samuel RC; Higgins, Julianne M; Weise, Janelle (2023). Towards the measurement of autistic burnout. Autism. https://doi.org/10.1177/13623613221147401

Candidate references (M1 and M2)

Method Jaccard index Source Candidate reference
M1: Crossref, OpenAlex and PubMed 16.7% M1: Crossref Arnold, Samuel RC; Higgins, Julianne M; Weise, Janelle (2023). Towards the measurement of autistic burnout. Autism. https://doi.org/10.1177/13623613221147401
M2: Google Scholar via SerpApi 7.7% M2: Google Scholar JM Higgins; SRC Arnold; J Weise (2021). Defining autistic burnout through experts by lived experience: Grounded Delphi method investigating# AutisticBurnout. . https://doi.org/10.1177/13623613211019858

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

Bibliographic concordance score calculation

Element Status Score Weight
Authors Partial 33.3% 0.20
Title Non-concordant 16.7% 0.20
Year Non-concordant 0.0% 0.20
Journal Non-concordant 0.0% 0.20
DOI Not present (absent) - -

(Authors 33.3x0.20 + Title 16.7x0.20 + Year 0.0x0.20 + Journal 0.0x0.20) / evaluated weight 0.80 (DOI absent: 0.20 removed) = 12.5

Title correspondence details (Jaccard index)

Union: 6 words present in the titles
burnout; conceptual; identity-based; model; measurement; towards
Intersection: 1 shared words
burnout
Words cited but absent from the matched title
conceptual; identity-based; model
Words from the matched title absent from the citation
measurement; towards
Tolerance applied
hyphenated compound words kept: identity-based; domain words excluded from the calculation: autistic
Index calculation
Jaccard index = intersection / union = 1 / 6 = 16.7 %
Jaccard index
16.7% (very low lexical similarity)

Possible correction

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