Presumed intracranial and spinal subdural empyema secondary to periorbital abscesses in a golden retriever
Bibliographic record
Abstract
Abstract Intracranial and spinal subdural empyema was presumptively diagnosed in a 2‐year‐old golden retriever secondary to periorbital abscesses. The patient initially presented to the referring veterinarian for right eye conjunctivitis, intermittent left head turn and reluctance to eat on the left side. The patient then suffered neck trauma from a rope, developing neck pain, left‐sided conscious proprioceptive deficits and right‐sided Horner's syndrome. Most signs resolved with medical management at the referring veterinarian, but neck pain persisted. Severe acute neurological deterioration occurred before presentation at our hospital, culminating in decerebrate rigidity and opisthotonos. Neurological exam revealed multifocal intracranial disease. Magnetic resonance imaging showed periorbital abscesses and extensive intracranial and cervical spinal subdural empyema. The owners elected for euthanasia and declined postmortem examination. Cerebrospinal fluid sampled immediately postmortem confirmed empyema. This is the first report of a presumed case of intracranial and cervical spine subdural empyema caused by periorbital abscesses in a dog.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".