Healing of Humeral Intracondylar Fissure Following Distal Ulnar Ostectomy to Treat Concurrent Elbow Joint Incongruity in a Dog
Bibliographic record
Abstract
Abstract A 22-week-old female Labrador retriever presented with intermittent bilateral forelimb lameness. Computed tomography (CT) study interpretation revealed bilateral humeral intracondylar fissures (HIF) surrounded by sclerotic epiphyseal bone. Other changes included bilateral distal ulna retained cartilage core, secondary negative radioulnar incongruity (RUI), and medial coronoid process disease. The patient underwent bilateral dynamic distal ulnar ostectomies (DUO) in an attempt to address the elbow incongruity. Follow-up CT studies were performed at 2, 4, and 10 months postoperatively, which showed a bilateral improvement of elbow congruence and complete healing of HIF on the left side. The degree of congruence correction in the right elbow was possibly suboptimal, and following an initial improvement, a transcondylar screw was placed due to HIF progression.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".