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Record W2897316632 · doi:10.1111/vcp.12660

<i>Klossiella equi</i> infection in a Cheval Canadien Mare

2018· article· en· W2897316632 on OpenAlexaboutno aff
Rose E. Baker, John W. Schlipf, Jacqueline V. Brady, M. Elena Gorman

Bibliographic record

VenueVeterinary Clinical Pathology · 2018
Typearticle
Languageen
FieldVeterinary
TopicHelminth infection and control
Canadian institutionsnot available
Fundersnot available
KeywordsUrineHorseMedicineCytologyUrine cytologyProtozoaKidneyNonsteroidalAcute kidney injuryFecesPathologyUrinary systemSurgeryInternal medicineBiologyMicrobiology

Abstract

fetched live from OpenAlex

A 6-year-old Cheval Canadien mare was presented for clinical signs related to acute kidney injury after receiving a course of nonsteroidal anti-inflammatory therapy. Cytologic examination of concentrated urine revealed small protozoal organisms that were later identified as Klossiella equi. Both sporocysts and free-floating sporozoites were identified in the urine, which has not been previously documented. The mare responded well to intravenous fluid therapy, and as she regained tubular function, the presence of the protozoa in the urine also abated. The mare was discharged from the hospital after approximately 1 week of therapy. Repeat serum chemistries for up to 1 year following discharge demonstrated that all renal parameters had returned to normal, and the protozoa were not visualized on cytologic examination of the collected urine samples.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.166
GPT teacher head0.444
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations2
Published2018
Admission routes1
Has abstractyes

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