Detection of <i>Neospora caninum</i> Tachyzoites in Canine Cerebrospinal Fluid
Bibliographic record
Abstract
4-year-old female Labrador Retriever was referred to the Veterinary Teaching Hospital of the Autonomous University of Barcelona because of progressive, generalized ataxia and depressed mental status of 5 days' duration. Before the onset of signs of neurologic dysfunction, the dog had been anorexic, lethargic, and hyperthermic for 7-10 days. The dog had been treated with doxycycline (5 mg/kg of body weight PO q12h) by the referring veterinarian without clinical improvement. During that time, general attitude, condition, and gait had progressively worsened. Over the 12 hours before presentation, the dog experienced a generalized seizure. Routine vaccinations were current, the owners did not report any previous medical history, and the possibility of exposure to toxins was considered unlikely.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".