Bibliographic record
Abstract
This chapter presents the details about clinical history, causative agent, clinical signs and lesions, transmission route, diagnostic tests, differential diagnosis, and prevention and control of cardiovascular diseases that include dilated cardiomyopathy, pulmonary hypertension syndrome, aortic rupture/dissecting aneurysm, round heart disease, nutritional and toxic cardiopathies, and infectious cardiopathies. There are a number of differences between the avian and the mammalian heart, some of which have clinical implications in the pathophysiology and diagnosis of poultry cardiovascular diseases. Electrocardiography (ECG) is invaluable to investigate conduction disorders and arrhythmia. Common ECG abnormalities in chickens include mean QRS axis deviation, ventricular premature contractions, and atrioventricular blocks. Ascites/pulmonary hypertension syndrome is one of the most common causes of mortality in commercial flocks of broilers, with an average prevalence of approximately 4.7%, which can go as high as 15-20% in certain roaster chicken flocks. Younger poultry birds are more commonly affected by nutritional deficiencies and excess.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.098 | 0.039 |
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".