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Record W1508654570

Heart disease in cattle with clinical signs of heart failure: 59 cases.

2010· article· en· W1508654570 on OpenAlexaff
Sébastien Buczinski, David Francoz, Gilles Fecteau, Rocky DiFruscia

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineHeart failurePericarditisMedical recordEndocarditisCardiomyopathyHeart diseaseInternal medicineMedical diagnosisRetrospective cohort studyCardiologySurgeryPathology
DOInot available

Abstract

fetched live from OpenAlex

This retrospective study identified clinical signs, underlying cardiac conditions, blood findings, echocardiographic findings, and prognosis for 59 cattle with clinical signs of congestive heart failure. Signalment; history; clinical signs; clinicopathologic, echocardiographic, and radiographic findings; and treatment were determined by reviewing medical records. Follow-up information was obtained by telephone conversation with owners. Most patients were tachycardic (n = 50), and tachypneic (n = 55). Pericarditis of traumatic origin (n = 21), by extension from pleuritis (n = 3), or of idiopathic origin (n = 1) was diagnosed in 25 cases. Other diagnoses were congenital heart defect (n = 13), cardiomyopathy (n = 9), bacterial endocarditis (n = 7), and neoplasm (n = 5). Twelve cases (20%) were discharged. Long-term survival was good in 2 out of 3 cases treated by pericardiostomy. The prognosis is poor in cases of heart failure in cattle and deaths within 1 mo (n = 3) or between 1 to 3 mo after discharge (n = 3) were common in cases for which follow-up was available (n = 8).

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)0.000
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.086
GPT teacher head0.353
Teacher spread0.267 · 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

Citations20
Published2010
Admission routes1
Has abstractyes

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