Lumbosacral MRI findings in two dogs diagnosed with a <i>Neospora caninum</i> infection
Bibliographic record
Abstract
Abstract A 5‐month‐old, male, entire labrador retriever (case 1) and a 6‐year‐old, female, neutered greyhound (case 2) presented following chronic, progressive, non‐painful paraparesis in both cases with L4–Cd and L4–S1 neurolocalisation respectively. Magnetic resonance imaging of the lumbosacral region revealed multifocal muscular changes in both cases with patchy T2‐weighted and water‐weighted T2‐weighted Dixon hyperintensities, with moderate contrast enhancement throughout the gluteal and lumbar paraspinal muscles. Multifocal radiculoneuropathy in case 1 and meningomyelitis in case 2 were identified. Crucially, in case 1, the identification of abnormal muscles on magnetic resonance imaging allowed the diagnosis of neosporosis via polymerase chain reaction on targeted muscle biopsy when previously indirect fluorescent antibody test serology was inconclusive and polymerase chain reaction on lumbar cerebrospinal fluid was negative. These cases highlight the magnetic resonance imaging findings of canine lumbar neosporosis and offer an alternative route of diagnosis through targeted muscle biopsy.
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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 | 0.001 | 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 | 0.001 |
| 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".