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Record W7126925867

COPPER ASSOCIATED HEPATITIS IN A TWO YEAR OLD LABRADOR RETRIEVER

2015· other· en· W7126925867 on OpenAlexaboutno aff
Lauren. E. Neuendorf

Bibliographic record

VenueeCommons (Cornell University) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsLabrador RetrieverHistopathologyUrinalysisVomitingAbdomenLiver biopsyHepatitis
DOInot available

Abstract

fetched live from OpenAlex

A two-year-old male castrated Labrador Retriever presented to the Cornell Emergency Service for one episode of vomiting and elevated liver enzymes. The patient was admitted and maintained on intravenous fluids, anti-emetics and liver protectants prior to transfer to the Internal Medicine Service the next day. Blood work revealed increased ALT, AST, GGT and Bilirubin. Urinalysis revealed proteinuria and glucosuria. Physical exam revealed a soft, non-painful abdomen with no masses palpated. Abdominal ultrasound revealed a diffusely small and mottled liver, with no evidence of portal hypertension or acquired shunts. The patient was taken to surgery to obtain liver biopsies that were submitted for cultures, histopathology and liver copper, iron and zinc levels. Histopathology and copper levels were consistent with a copper-associated hepatitis. The patient was discharged with antibiotics, gastroprotectants and liver protectants. The patient was also started on a low copper diet and D-penicillamine therapy for chelation of excess copper.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.206
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.022

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 head0.028
GPT teacher head0.214
Teacher spread0.187 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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