Immune-mediated hemolytic anemia in a 6 year-old Golden Retriever
Bibliographic record
Abstract
A 6 year-old, male neutered Golden Retriever presented to his local veterinarian with a four day history of lethargy, anorexia, and a weight loss of 18 pounds over the past three months. Upon examination, the dog was quiet, but alert and responsive. Initial evaluation disclosed pale mucous membranes, a CRT < 2 seconds, jaundice of the sclera and gums, and a temperature of 104.3°F. After being admitted to the hospital, initial laboratory tests were performed and the following abnormalities were detected: a hematocrit of 22.4% (ref 37-55), severe normochromic macrocytic anemia, mild neutrophilia, spherocytosis, polychromasia, anisocytosis, mild hyperbilirubinemia (1.1 mg/dL), and a mildly low T4 of 1.1 µg/dl. The slide agglutination test was negative. The dog was then treated with prednisone, amoxicillin, famotidine, and azathioprine, as well as blood transfusion the following day. This case report will discuss a primary clinician’s diagnostic workup of an anemic patient, differential diagnosis for regenerative anemia, laboratory data, treatment, and outcomes of dogs with immune-mediated hemolytic anemia.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".