Recoverable Identifier

arXiv:2605.06943 · detector doi_compliance · incontrovertible · 2026-05-19 12:14:00.719608+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1016/j.media.2023.103042.URL) was visible in the surrounding text but could not be confirmed against doi.org as printed.

Paper page Integrity report arXiv Try DOI

Evidence text

Ričards Marcinkevičs, Patricia Reis Wolfertstetter, Ugne Klimiene, Kieran Chin-Cheong, Alyssia Paschke, Julia Zerres, Markus Denzinger, David Niederberger, Sven Well- mann, Ece Ozkan, Christian Knorr, and Julia E. Vogt. Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis.Medical Image Analysis, 91:103042, 2024. ISSN 1361-8415. doi: https://doi.org/10.1016/j. media.2023.103042. URL https://www.sciencedirect.com/science/article/pii/ S136184152300302X

Evidence payload

{
  "printed_excerpt": "Ri\u010dards Marcinkevi\u010ds, Patricia Reis Wolfertstetter, Ugne Klimiene, Kieran Chin-Cheong, Alyssia Paschke, Julia Zerres, Markus Denzinger, David Niederberger, Sven Well- mann, Ece Ozkan, Christian Knorr, and Julia E. Vogt. Interpretable and in",
  "reconstructed_doi": "10.1016/j.media.2023.103042.URL",
  "ref_index": 67,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}