MétaCan
Menu
Back to cohort
Record W2958880150 · doi:10.1177/1040638719863102

Canine circoviral hemorrhagic enteritis in a dog in Connecticut

2019· article· en· W2958880150 on OpenAlexaboutno aff
Herbert J. Van Kruiningen, Mizuki Heishima, Kirklyn M. Kerr, Antonio E. Garmendia, Zeinab H. Helal, Joan A. Smyth

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsnot available
FundersUniversity of California, DavisUniversity of Connecticut
KeywordsPathologyLymphSpleenSmall intestineLymph nodeLethargyMesenteric lymph nodesBasophilicBiologyAnatomyMedicineImmunology

Abstract

fetched live from OpenAlex

A 5-mo-old Bassett Hound-Labrador Retriever cross was autopsied following a bout of lethargy, inappetence, and bleeding gums. Mucous membranes were white, and the small intestine was blue-black; the colon contained black feces. The spleen was swollen, and multiple lymph nodes were enlarged and hemorrhagic. Microscopically, the small intestine had focal crypt cell necrosis and circumferential transmural vasculitis, the latter the cause of infarction and the blue-black coloration. Lymphocytes were necrotic in spleen and lymph nodes, and erythrophagocytosis was present in some nodes. Vasculitis was present in brain, meninges, lung, liver, and kidneys. Electron microscopy revealed aggregates of 15-18 nm round viral particles in damaged crypt cells and in the endothelium of small blood vessels. Electron-dense intracytoplasmic inclusions consisting of paracrystalline-arrayed virus were demonstrated in macrophages in medullary lymph node sinuses. These virions were identified as circovirus, which was confirmed by real-time PCR and sequencing.

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)0.001
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 score0.157
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.024
GPT teacher head0.244
Teacher spread0.219 · 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

Citations32
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Veterinary Diagnostic InvestigationSame topicAnimal Virus Infections StudiesFrench-language works237,207