Bilateral fragmented medial coronoid processes in a 10 month old Labrador retriever
Bibliographic record
Abstract
A 10 month old female spayed Labrador retriever presented to Cornell’s Orthopedic Surgery Service for evaluation of thoracic limb lameness of 2-3 month duration. Since December 2017, the patient had been medically managed for lameness on firocoxib, as prescribed by her primary care veterinarian. Medical management had yielded mild improvement of clinical signs, but the patient was still lame. On initial physical examination, the patient was bright, alert, and responsive. She exhibited pain on elbow extension (worse on the right limb) and was sensitive to palpation of the elbow joint bilaterally. She had mild elbow effusion that was easily palpable in the medial compartments in both limbs. When lying down, she internally rotated her forelimbs, making her elbows externally rotated. The patient’s problem list consisted of bilateral thoracic limb lameness, characterized by joint effusion, decreased range of motion, and sensitivity to elbow palpation/manipulation. Computed tomography was used to image both thoracic limbs, revealing bilateral fragmented medial coronoid processes. Fragment removal using bilateral arthroscopy was elected as the treatment of choice. Apart from the fragments, the remainder of the joint appeared normal on arthroscopy. There was no evidence of osteoarthritis and the radioulnar, humeroulnar, and humeroradial joints articulated well. The cartilage adjacent to the fragments was found to be smooth and undamaged. This report will describe elbow dysplasia and disease pathogenesis of fragmented medial coronoid processes, as well as different imaging and treatment options.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".