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Record W2131675165 · doi:10.1136/vr.d4346

Clinicopathological findings and echocardiographic prediction of the localisation of bovine endocarditis

2011· article· en· W2131675165 on OpenAlexaff
Sébastien Buczinski

Bibliographic record

VenueVeterinary Record · 2011
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineInternal medicineEndocarditisTricuspid valveLeukocytosisCardiologyDistension

Abstract

fetched live from OpenAlex

Thirty-six cows with confirmed vegetative endocarditis at postmortem examination were examined in this study. In 33 cows, echocardiography showed lesions of the pulmonic, tricuspid and mitral valves. Ten healthy cows were enrolled in the study as controls. In diseased cows, clinical signs included recurrent fever, dyspnoea, epistaxis, tachycardia, murmurs, weight loss, decreased milk production, jugular and mammary vein distension with palpable pulse, and ventral and submandibular oedema. Laboratory abnormalities included neutrophilic leukocytosis, elevated protein concentrations, hypoalbuminaemia, hypergammaglobulinaemia, azotaemia and elevated serum creatinine concentration. High serum activities of aspartate aminotransferase, γ-glutamyl transpeptidase and lactate dehydrogenase were also detected. Echocardiography showed small, medium-sized or large hyperechogenicity, thickening, and proliferative or vegetative lesions of the tricuspid (n=11), mitral (n=5) and pulmonic valves (n=19). Confirmatory diagnosis was made at postmortem examination. Echocardiography could detect vegetations in 33 of the 36 cows (92 per cent). The sensitivity of ultrasound in detecting valvular endocarditis was 89 per cent for tricuspid valves, 83 per cent for mitral valves and 95 per cent for pulmonic valves.

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 score0.024
Threshold uncertainty score0.269

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 head0.078
GPT teacher head0.272
Teacher spread0.194 · 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

Citations23
Published2011
Admission routes1
Has abstractyes

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