An apparently healthy female crossbred Labrador retriever-poodle dog with severe intra-abdominal adhesions as an incidental finding to ovariohysterectomy.
Bibliographic record
Abstract
An apparently healthy 1-year-old, female crossbred Labrador retriever-poodle dog was brought to a veterinary clinic for elective ovariohysterectomy (OVH). Severe abdominal adhesions complicated the procedure. There was no report of a previous illness or surgical procedure that would be a predisposing cause for the adhesions. The OVH was completed despite the adhesions and the dog recovered well. It is unclear whether this was simply a case of severe intra-abdominal adhesions or an atypical sclerosing encapsulating peritonitis (SEP). The differential diagnoses include inflammatory processes, a genetic predisposition, or an idiopathic cause. Fourteen days later, at the time of surgical staple removal, the dog was healthy and had reportedly been doing very well. Although rare, intra-abdominal adhesions can occur in young and previously healthy dogs without causing clinical signs. Veterinarians should be aware of such a condition when approaching abdominal surgeries and be prepared to manage these cases appropriately.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".