Tratamento de Otohematoma em Cão (Canis familiaris) através da Homeopatia: Relato de Caso
Bibliographic record
Abstract
Aural hematoma is a pathology commonly diagnosed in dogs and characterized by the accumulation of blood in the external ear of the animal, usually of traumatic origin. The treatments of choice for the clinical improvement of the affected ear are, in general, invasive. The present work reports the case of a Labrador female dog attended at NaturalPet Veterinary Clinic and diagnosed with aural hematoma. The patient was treated exclusively with homeopathic medicines. The prescription of the medicines was based on the law of similars, and the treatment comprised the use of Hamamelis virginiana D12 (1x10-12), Arnica montana D9 (1x10-9) and Bellis perenis 30CH (1x10-60). The therapeutic protocol used was conclusive, reestablishing the function of the external ear with no deformations of the affected tissue. Therefore, the homeopathic treatment important therapy to be used and evaluated in other cases similar to this one reported.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.002 | 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".