Case Reports: Diagnosis and Treatment of Ehrlichiosis in Dog
Bibliographic record
Abstract
A 6 months old mixed breed weighing 5 kg presented with reluctance to eat and limping. The dog cohabits with two other dogs and two cats. Prior to falling ill, the dog suffered from flea infestations, which were treated two weeks before the onset of symptoms. Clinical examination revealed lethargy, mild dehydration, and pale pink mucous membranes. Blood tests indicated decreased hemoglobin and red blood cell count, along the presence of Ehrlichia canis morulae in leukocytes. Ehrlichia canis is a bacterium that multiplies within vacuoles in the cytoplasm of monocytes and tissue macrophages. The diagnosis led to suspicion of Ehrlichiosis. Treatment comprised NaCl infusion, dextrose injection, Adenosine Triphosphat, and hematopoetic vitamin to address dehydration and anemia. Analgesics antipyretics, and antiemetics were administered to alleviated fever and vomiting. Additionally, ferrous gluconate was given to manage anemia. After three days post-treatment, the dog showed improved appetite, normal temperature, and was deemed suitable for outpatient care.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".