Bibliographic record
Abstract
Hyperadrenocorticism or Cushing's disease is a disease that is caused by prolonged exposure of the body to excessive amounts of cortisol secretion. Therefore, a lack of the normal response exists within the mechanism hypothalamic-pituitary-adrenal gland, as well as a lack of the normal rhythm of cortisol secretion. As a disease, hyperadrenocorticism comes in two basic forms; caused by a pituitary disease or by adrenal tumors. Most dogs with hyperadrenocorticism slowly develop clinical symptoms and the owner can notice them only in the more severe form when they develop several clinical symptoms. Polydipsia, polyuria and polyphagia are the most typical symptoms. The disease occurs in dogs older than 6 years. There is a breed predisposition: Poodles, Dachshunds, Beagles, German shepherds, Labrador retrievers and Terriers were most commonly represented among the huge number of breeds. When the basic methods of clinical studies suspect hyperadrenocorticism, the endocrine testing should be completed. There are several different screening tests, but they all give a false positive result, because tests can be positive on some other diseases. Medical therapy may be selected depending on the type of hyperadrenocorticism.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".