Osteoarticular Infection of the Shoulder Joint Due to Trichophyton Spp. in a Dog
Bibliographic record
Abstract
Abstract A 10-year-old Labrador Retriever was referred for persistent lameness due to chronic right shoulder pain, unresponsive to various pain management therapies. Radiographs indicated signs of severe degenerative changes in the joint. Synovial fluid analysis was not diagnostic. Septic arthritis was suspected based on computed tomography and clinical signs. Arthroscopy allowed joint exploration, tissue biopsies, and copious joint lavage. Trichophyton spp. proliferation was identified on antimicrobial culture and histological analysis on samples obtained during arthroscopy. Oral griseofulvin therapy was initiated. Two months later, the referring veterinarian decided to interrupt the treatment after a negative synovial culture despite persistent lameness. Euthanasia was elected upon after pain also appeared on the tarsus; a post-mortem exam was not authorized by the owner. The origin of the infection remains unclear as this patient had no skin lesions and its immunological status was unknown. However, dermatophytosis has been reported in healthy dogs without skin lesions. To the author's knowledge, this is the first report of an osteoarticular infection with a dermatophyte in a dog.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".