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Penetration with inflation: post traumatic air in AC

Chimera readability score 72 out of 100, Expert reading level.

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Authors and Affiliations
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Manu Sharma—concept, design, manuscript writing. Nitin Gautam—data collection, review of literature. Simar Rajan Singh—final editing, review and supervision. There is an equal contribution by authors in creating the manuscript.
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The authors declare no competing interests.
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Sharma, M., Gautam, N. & Singh, S.R. Penetration with inflation: post traumatic air in AC. Eye (2026). https://doi.org/10.1038/s41433-026-04634-7
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DOI: https://doi.org/10.1038/s41433-026-04634-7

Sentinel — Human

Confidence

The text consists entirely of structured academic metadata, which does not contain the stylistic hallmarks of narrative AI generation; it appears to be machine-readable bibliographic data.

Signals Detected
low severity: High structural uniformity (standard academic boilerplate), suggesting template usage rather than erratic human rhythm.
low severity: The text is purely informational metadata; it lacks the narrative flow, emotional voice, or digressions characteristic of AI-generated explanatory prose.
low severity: Perfect matching to known academic citation and publisher formatting (DOI, Received/Revised/Accepted status). This is typical of formatted data retrieval, not organic writing.
Human Indicators
Specific author names, institutional context, and a valid DOI structure suggest reliance on verifiable external publishing data.