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Record W4386334578 · doi:10.36062/ijah.2023.12622

Removal of grass awn from the stromal layer of cornea in a dog: A case report

2023· article· en· W4386334578 on OpenAlexaboutno aff
Ashok Kumar, Kiranjeet Singh, Aswathy Gopinathan, Deepak R. Bharti, Manish Arya, S. N. Chaithra

Bibliographic record

VenueIndian Journal of Animal Health · 2023
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCorneaStromal cellBiologyLayer (electronics)Veterinary medicineAnatomyOphthalmologyPathologyMedicineChemistry

Abstract

fetched live from OpenAlex

Cornea is the outermost structure of the eye; it is devoid of blood supply and gets its oxygen directly from the environment; due to this, it is always exposed to external objects.Whenever any insult occurs in the eye, it is the cornea which always encounters the injury first.Young dogs, usually less than 5 years of age, those are more active encounter more corneal injury.In the present case study, 1.5 years old male Labrador dog got stuck in small bushes while playing outside, left eye cornea of the dog got injured by a small grass awn.Compete ophthalmic and physical examinations were performed, and a decision for surgical removal of foreign material was taken.After the successful removal of grass awn, antibiotic (tobramycin) and anti-inflammatory (flurbiprofen) drops were prescribed postoperatively; after 10 days of post-operative treatment, corneal scar tissue disappeared and cornea became clear on the 25 th day post-operative.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0030.004
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0100.005
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.364
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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