Recurrent cerebrovascular accidents caused by intravascular lymphoma in a dog
Bibliographic record
Abstract
An eight-year-old, neutered male labrador was presented with recent recurrent vestibular episodes. MRI was consistent with multiple lacunar ischaemic infarcts in the thalamus and medulla oblongata. The imaging diagnosis was supported by a markedly elevated D-dimer concentration. Despite a comprehensive diagnostic workup (including fine needle cytology of cutaneous and subcutaneous nodules, complete bloodwork, urinalysis, thoracic and abdominal imaging, cerebrospinal fluid analysis, serial blood pressure measurements, echocardiography, electrocardiography and brainstem auditory evoked response testing), no underlying cause was found. After a partial response to 2 mg/kg clopidogrel once a day and 1 mg/kg prednisolone once a day, the dog acutely deteriorated and repeated MRI of the brain revealed an intra-axial haemorrhagic mass. Euthanasia was elected and postmortem examination revealed the presence of an intravascular null-cell lymphoma, exclusively in the central nervous system. Intravascular lymphoma is rare, difficult to diagnose ante-mortem and reports in veterinary literature are few.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".