EPIDEMIOLOGICAL ASPECTS OF OTITIS EXTERNA IN DOGS
Bibliographic record
Abstract
According to etiology, we noticed that 26% of the otitis were parasitic, 32% allergic, 8% bacterial and each of the following were 2%: tumor, metabolic, autoimmune and cornification disorders.The parasitic agents were represented by Otodectes cynotis (69.23%), Demodex canis (23.08%) and Sarcoptes scabiei var. canis (7.69%). The mycotic otitis were divided in two: 69.23% were idiopatic and the rest of 30.77% were caused by on association of yeasts and bacterial agents.The incidence of otitis externa according to race was different, as follows: German Shepard-20%, Boxer-14%, Common race-14%, Caniche10%, Labrador-8%, West Highland White Terrier 4%, Bull Terrier-4%, Rottweiller-2%, Amstaff -2%, Bichon Maltese-2%, Alsacian Shepard-2%, Yorkshire Terrier-2%, Terra Nova2%, Fox Terrier -2%, Belgian Shepard-2%, English Bulldog-2% and Cocker Spaniel2%.Otitis externa occurred to dogs either in association with other diseases (4%), either as a consequence of subjacent diseases (44%).
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".