Academic Integrity Report: Suspected Paper Mill Output in Hypercube Queueing-Based Emergency Rescue Study (DOI: 10.1155/atr/8145358)

Academic fraud report · Geng Detector

Summary

Verdict: highly suspicious, pending institutional verification. The report identifies multiple red flags consistent with paper-mill production rather than original scholarship. The most decisive issue is a severe DOI and journal metadata mismatch: the manuscript header cites publication in Journal of Advanced Transportation (JAT, DOI prefix 10.1155/jat/...), but the footer and supplied DOI point to 10.1155/atr/..., an abbreviation associated with a different Hindawi/Wiley title. Second, LaTeX formulas (notably equations 8–10) embed raw code-style identifiers such as 'ee', 'ee_i', and 'eμi' / 'eeP_ee', indicating variables were never cleaned before being rendered as mathematics. Third, the narrative appears template-assembled around real place names (Xinwan) and policy documents layered onto Larson's 1974 hypercube model. Limits: the original PDF was heavily garbled by encoding errors, author names are partially recovered, and no pixel-level image or statistical distribution analysis could be performed. Confidence is high on metadata and textual evidence, moderate on algorithmic originality.

Verdict

Highly suspicious. Two independent indicators — a DOI prefix inconsistent with the named journal, and unredacted source-code identifiers embedded inside LaTeX equations — strongly suggest a template-based, paper-mill provenance rather than genuine authored research. Confirmation requires editor-side investigation, raw code release, and raw traffic-data release.

Key findings

DOI/journal metadata mismatch: header cites Journal of Advanced Transportation; supplied DOI is 10.1155/atr/8145358, using the 'atr' prefix associated with a different title.
Code-level identifiers present inside displayed formulas (eqs. 8–10): 'ee', 'ee_i', 'eeP_ee', and 'eμi' — typical of unreplaced programming variable names (e.g., a prefix 'e' denoting an entity) converted directly to LaTeX.
Narrative scaffolding combines Larson's 1974 classical hypercube queueing model with a so-called 'AQ algorithm' and real-world place names (Xinwan) and policy documents (Hangzhou territorial planning), consistent with template assembly rather than novel method development.
Heavy character-encoding corruption across the supplied PDF prevented reliable extraction of author names, exact title, and figure/table content.
Image- and data-level forensic checks (duplication, splicing, distribution sanity) could not be performed due to the absence of clean figure files and raw datasets.
Funding identifier 52272324 was mentioned; its actual linkage to this study has not been verified.

Evidence highlights

DOI as supplied: https://doi.org/10.1155/atr/8145358
Expected DOI prefix for Journal of Advanced Transportation: 10.1155/jat/...
Equations cited in the source: equations 8–10 containing identifiers 'ee', 'ee_i', 'eeP_ee', 'eμi'.
Figures referenced but not analyzed due to encoding loss: Figures 7–14; multiple 'error-rate bar charts' and claims of 'real data'.
Cited foundational model: Larson (1974), hypercube queueing model.
Local context cited: 'Xinwan' street data, Hangzhou territorial planning documents.

Notes

Author names and the precise title could not be reliably recovered because of PDF encoding corruption; the working filename is GuYu_Hypercube_EmergencyRescue_JAT.pdf and the first author is tentatively read as Gu Yu.
No Western-blot or biomedical image manipulation is applicable; this is a transportation/operations-research paper.
Pixel-level image duplication, splicing, and statistical-distribution forensic analyses were not feasible on the supplied artifact.
Recommended follow-ups: report the DOI/journal inconsistency and the code-variable leakage to the JAT/ATR editorial office; request the authors' raw AQ-algorithm code and raw Xinwan traffic data; post the DOI-prefix and variable-naming issues on PubPeer; verify whether grant 52272324 actually funded the work.
This report is AI-assisted and intended for academic discussion only; final determinations of misconduct must come from a formal institutional or publisher investigation.