The association of increased serum myocardial enzymes concentration with aberrations in the electrocardiograms of dogs
Bibliographic record
Abstract
The study was undertaken to assess the concordance of increased serum myocardial enzymes and myocardial injury with certain aberrations in electrocardiograms of dogs. Labrador Retriever dogs aged between 5 to 10 years and showing symptoms of cardiac problems like nocturnal coughing, exercise intolerance, cyanotic mucus membrane, inappetance, edema etc were considered for the study and apparently healthy Labrador Retriever dogs aged between 5 to 10 years having no history of cardiac disorders were enzymatically screened to get control values. Electrocardiographic alterations like tall T waves were associated with increased serum levels of CKMB (Creatine Kinase MB isoenzyme), LDH (Lactate Dehydrogenase) and AST (Aspartate Aminotransferase) while ECG aberrations like ST segment abnormalities and arrhythmia were associated with increased levels of CKMB and LDH in the serum. Our study concluded that myocardial infarction might be the reason behind certain ECG findings which are often believed to be of non-ischemic origins.
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 | 0.000 | 0.001 |
| 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".