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Record W3158668857 · doi:10.1002/vrc2.77

Severe chronic idiopathic suppurative lymphoplasmacytic rhinitis in a dog

2021· article· en· W3158668857 on OpenAlexaboutno aff
Federica Cagnasso, Silvia Roncone, Roberta Caccamo, Andrea Peano, Paola Gianella

Bibliographic record

VenueVeterinary Record Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLeishmania infantumPhysical examinationPrednisoneLabrador RetrieverDirofilaria immitisDermatologyItraconazoleSurgeryLeishmaniasisPathologyAntifungalVisceral leishmaniasisImmunology

Abstract

fetched live from OpenAlex

Abstract A 5‐year‐old, intact male, Border collie dog was evaluated because of a 10‐day history of right epistaxis. On physical examination, there was no evidence of nasal discharge. A mild depigmentation of the right nasal planum was observed. The infectious panel was negative for Leishmania infantum, Dirofilaria immitis , Angiostrongylus vasorum and tickborne infectious diseases. CT scan of the head, rhinoscopy, histopathologic examination of the right nasal mucosa, fungal culture and PCR sequencing were performed at initial diagnostic workup and follow‐up. A severe and diffuse chronic idiopathic suppurative lymphoplasmacytic rhinitis was diagnosed, along with isolation of Trichosporon ashaii . Because of the unsatisfactory clinical response to marbofloxacin, piroxicam, itraconazole and clotrimazole, oral prednisone was administered. After the initial 2 weeks, prednisone was progressively reduced and discontinued 9 months later. The dog showed complete disappearance of clinical signs, without recurrence after therapy discontinuation.

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)0.001
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.001
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 head0.033
GPT teacher head0.305
Teacher spread0.272 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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