Bibliographic record
Abstract
Medial compartment disease of the elbow joint refers to lameness, decreased range of motion, pain and degenerative changes associated with different forms of fragmentation of the medial portion of the coronoid process, and cartilage disease of the humeral trochlea and coronoid process, with or without incongruity of the joint. It is most commonly diagnosed in young, large to giant breed dogs, such as Labrador Retrievers, German Shepard dogs, Bernese Mountain Dogs etc. It is typically seen in immature dogs between 6 and 18 months of age. The ethiopatogenesis of medial coronoid disease has been particularly well studied, but remains poorly understood. It is believed that the fragmentation of the medial portion of the coronoid process is a manifestation of osteochondrosis, along with ununited anconeal process. These enteties resulted from a disturbance in enchondral ossification leading to retention of an abnormalla thick layer of cartilage. All conditions associated with medial compartment disease result in different degrees of lameness and pain with manipulation of the elbow joint. Dogs occasionally stand with the elbow slightly adducted and the antebrachium rotated laterally to decrease the loads applied to the medial compartment of the elbow. Several factors should be considered in the decision making process for treatment, especially the severity of preexisting degenerative joint disease. Treatment can include conservative and pharmacological treatment and surgical such as arthroscopy, subtotal coronoidectomy, bicipital ulnar release procedure and sliding humeral osteotomy. The surgical load bearing transferring techniques are promising treatment methods. The prognosis itself depends on the severity of pathological processes, age of the patient and postoperative care.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".