Computed tomographic findings of a medically managed canine renal cortical abscess
Bibliographic record
Abstract
Abstract A 10‐year‐old, neutered, male labrador retriever was referred for acute history of abdominal pain and distention, pyrexia and pelvic limb ataxia. Peritoneal free fluid with intracellular bacteria was confirmed, and subsequent abdominal computed tomography revealed a hypoattenuating and rim‐enhancing focal lesion in the cortex of the left kidney, with associated regional inflammation. The dog underwent fine‐needle aspiration of the lesion with ultrasound guidance confirming the presence of a renal abscess with growth of Escherichia coli on culture of the acquired purulent intralesional fluid. Medical management was commenced, and on repeat clinical examination and computed tomography imaging, the clinical signs and renal lesion had resolved. To the authors’ best knowledge, this is the first report of confirmation of complete resolution of a cortical renal abscess, treated with only medical management, using computed tomography examination.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".