Clinically significant, nontraumatic, degenerative joint disease of the temporomandibular joints in a horse
Bibliographic record
Abstract
Summary Horses with degenerative joint disease ( DJD ) of the temporomandibular joint ( TMJ ) have been reported infrequently, with the majority of cases describing the disease as a consequence of an earlier traumatic event. A case of clinically significant TMJ ‐ DJD due to a nontraumatic event has not been published. This retrospective case report describes a case of bilateral, DJD of the TMJ . Case management, subsequent review and interpretation of the clinical records, tangential radiographic views of each TMJ , computed tomography and magnetic resonance imaging of the head, and post mortem histological examination of the TMJ s were performed. The horse exhibited both quidding and a ‘clicking’ sound during mastication; episodes of intermittent colic were also prevalent in the horse's history. Computed tomography illustrated bilateral mineralisation of the rostral aspect of both intra‐articular discs. Treatment, by intra‐articular injection of corticosteroid, resulted in temporary resolution of both the quidding and the ‘clicking’ sound, as well as the recurrent episodes of colic. Repeated treatment over time was required. Ultimately the horse was subjected to euthanasia for reasons other than disease of the TMJ . The development of TMJ ‐ DJD may not be confined to traumatic events. Age‐related degeneration of this joint may occur and manifest through quidding and abnormal sounds noted during mastication.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| 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) | 0.002 | 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".