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Record W4221142331

Bilateral second pharyngeal cleft cysts in 2 calves on the same farm.

2022· article· en· W4221142331 on OpenAlexaff
R Madison Ricard, Kelly C Lightfoot, Jaidyn Burton, Bruce Wobeser

Bibliographic record

VenuePubMed · 2022
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Anomalies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPharynxAnatomyCystMedicineHistopathologyBiologyPathology
DOInot available

Abstract

fetched live from OpenAlex

Pharyngeal cleft cysts (also called branchial cleft cysts) are rare congenital defects of the pharynx region that appear as soft, fluctuant cystic structures on the ventral neck. These cysts are formed by anomalous regression of the pharyngeal clefts during embryonic development and are lined by pseudostratified columnar to squamous, partially ciliated epithelium on histopathology. Development of these cysts is sporadic, with no currently identified risk factors in veterinary species. The cysts are typically unilateral, and primarily diagnosed in mature animals of various species. The objective of this article is to report 2 cases of bilateral second pharyngeal cleft cysts in 2 calves with no shared pedigree, located on the same farm. To the authors' knowledge, this is the first report of geographically linked second pharyngeal cleft cysts in veterinary species, and the first cases of bilateral cysts in cattle. Key clinical message: Pharyngeal cleft cysts are an important differential for soft, fluctuant, and cystic structures on the ventral neck of all species. These cases are typically unilateral, diagnosed in mature animals and are sporadic with no currently identified risk factors in veterinary species.

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)0.005
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.242
Teacher spread0.212 · 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
Published2022
Admission routes1
Has abstractyes

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