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Record W2098192026 · doi:10.1111/eve.12428

Morbidity and mortality associated with a Standardbred yearling sale

2015· article· en· W2098192026 on OpenAlexaff
J. Scott Weese

Bibliographic record

VenueEquine Veterinary Education · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicVector-Borne Animal Diseases
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineOutbreakIncidence (geometry)DiseaseVeterinary medicineHorseInternal medicinePathology

Abstract

fetched live from OpenAlex

Summary In the 2‐week period following a Standardbred yearling sale, 5 horses from the sale died or were subjected to euthanasia. Three were confirmed as equine herpesvirus type 1 myeloencephalopathy ( EHM ), while EHM was suspected in 2. Clinical abnormalities were reported in 77 of 177 (43.5%) other yearlings during the 14‐day period after the sale; however, no diagnostic testing was performed. Eleven secondary cases of suspected EHM in horses in contact with yearlings purchased at the sale were identified. No cases of EHM were identified associated with the same sale in 2003; however, there was no difference in morbidity with clinical abnormalities reported in 39/96 (41%) horses sold that year (P = 0.70). Yearling sales have an inherent risk of pathogen exposure and illness is common in purchased horses. Disease in these horses could have been associated with a wide range of respiratory pathogens; however, the incidence of confirmed or suspected primary and secondary EHM cases associated with the 2002 yearling sale highlight the potential for significant outbreaks of disease.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.140

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.102
GPT teacher head0.312
Teacher spread0.210 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2015
Admission routes1
Has abstractyes

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