Ununited Anconeal Process in a Labrador Retriever Dog
Bibliographic record
Abstract
A 6 month-old male Labrador retriever was presented for intermittent lameness on the left forelimb after exercise. The dog was suffering progressive lameness that had started two months before. On mediolateral radiographic view of the left elbow, proximal margin of the anconeal process was irregular. A lucent, indistinct line separating the anconeal process from the ulna was observed, when the elbow joint was flexed. The lateral approach to the elbow joint was used and the ununited anconeal process was removed. The limb was bandaged after surgery for 7 days to support soft tissue and exercises were restricted. The dog showed normal limb function 3 weeks after surgery. On a telephone conversation with the owner 18 months after surgery, the dog was reported to maintain normal function of the limb.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".