Atypisches Cushing-Syndrom bei einem Hund
Bibliographic record
Abstract
In a 12-year-old male Labrador Retriever, presented due to other disease symptoms, clinical signs of hyperadrenocorticism (polyuria, polydipsia, abdominal distention, muscle atrophy) were an incidental finding. Abnormal laboratory results and sonographic findings of the adrenal glands, but negative low-dose dexamethasone suppression tests with low basal cortisol concentrations, a negative andrenocorticotropic hormone (ACTH)-stimulation test and exclusion of iatrogenic hyperadrenocorticism, suggested an atypical hyperadrenocorticism (AHAC). Results of further examinations, particularly stimulation of progesterone production by ACTH (0 h value: 0.21 ng/ml; 1 h value: 4.9 ng/ml) and good response to therapy with trilostane, supported this diagnosis. However, it has to be critically considered, whether and to what extent additionally present diseases (arthroses, testicular tumour) played a role regarding the symptoms and laboratory results in this dog. This case illustrates the difficulties with the diagnosis of AHAC.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.013 |
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; both teacher heads agree on what is shown here.
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".