Bibliographic record
Abstract
Resumen En este artículo se reporta un caso de Ehrlichiosis canina, diagnosticado mediante la detección de antígenos de Dirofilaria immitis, Borrelia burgdorferi y anticuerpos de Ehrlichia canis en un canino macho labrador dorado, con un peso de 36 kg y 6 años de edad. Se mencionan los procedimientos realizados para el diagnóstico, incluida la valoración clínica, exámenes de laboratorio y seguimiento terapéutico. Palabras clave: canino, ehrlichia, ricketsia. Summary In this article a case of canine Ehrlichiosis is reported, diagnosed by means of antigens detection of Dirofilaria immitis, Borrelia burgdorferi and Ehrlichia canis antibodies, in a canine male, golden labrador, with a 36 kg weight and 6 years old. The procedures made for the diagnosis are mentioned, including the clinical examitatión, laboratory tests and therapeutic. Key words: canine, ehrlichia, ricketsia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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; both teacher heads agree on what is shown here.
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".