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Canine dacryolithiasis: a case description and mineral analysis

2012· article· en· W2132819427 on OpenAlexaboutno aff
Pedro Malho, Jane Sansom, Phillipa Johnson, Jennifer Stewart

Bibliographic record

VenueVeterinary Ophthalmology · 2012
Typearticle
Languageen
FieldMedicine
TopicNasolacrimal Duct Obstruction Treatments
Canadian institutionsnot available
FundersCilag
KeywordsChemistryComputational biologyBiology

Abstract

fetched live from OpenAlex

A 4-year-old, female, spayed, Labrador retriever was presented with a painless swelling of the left ventromedial eyelid and epiphora of 3 months duration. Bilateral patency of the nasolacrimal system was confirmed by the appearance of fluorescein dye at both nares. Ultrasonography revealed a well-demarcated fluid-filled structure containing echogenic ill-defined material in close proximity to the nasolacrimal system. A transconjunctival surgical approach confirmed the close anatomical proximity of the cyst and the absence of a communication with the inferior canaliculus. The cyst contained multiple intraluminal calculi (dacryoliths). Following surgical excision of the cyst, the epiphora resolved and no recurrence was noted over a 12-month follow-up period. On histopathology, the cystic structure was lined by stratified squamous epithelium, consistent with lacrimal canaliculus epithelium. Presumed progression of a canalicular diverticulum to a cyst with the formation of intraluminal dacryoliths was suspected. Mineral analysis of the dacryoliths revealed a calcium carbonate composition.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.006
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0060.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.074
GPT teacher head0.341
Teacher spread0.268 · 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

Citations9
Published2012
Admission routes1
Has abstractyes

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