Clinicopathological findings and echocardiographic prediction of the localisation of bovine endocarditis
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".