Ependymoma okozta epilepsziás rohamok és szerzett májelégtelenség egy labrador retrieverben - Esetismertetés
Bibliographic record
Abstract
SUMMARY \nThe authors present in their study a Labrador retriever with chronic nervous \nsystemdisorder to demonstrate how could a progressively increasing primary \nbraintumour (as histopathological fi ndings later confi rmed, an ependymoma) affect \nan animal’s attitude, pathological and compulsive behaviour, causing epileptic \nseizures, while disrupting physiological function of the frontal and temporal lobes, \nand also the limbic system. In addition to the gradually ingravescent and diverse \nclinical symptoms, compulsive behaviours (especially abnormal appetite over several \nyears) caused great damage of the gastrointestinal tract and detoxifying-system, \nwhich ultimately led to subsequent liver failure so extended that deterioration \nof medical condition could not be reversed. Therefore, the authors emphasize \nthe importance of comprehensive professional collaboration, detailed knowledge \nabout the patient’s medical history and habits, and targeted testing for diseases \nwhich could lead to early detection and choosing the most effective treatment.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".