2018 CVM News: Two orthopedic surgeries in two years return retriever to eight-mile hikes
Bibliographic record
Abstract
This news item is about: At three years old, Labrador Retriever ?Pinky? Kramer experienced a waxing and waning lameness in her right leg over the course of about eight months. Her veterinarian at West Point Veterinary Clinic referred her to Cornell Orthopedic Services, where X-rays revealed bilateral cruciate disease in the stifle joints (equivalent to the knee in humans) and osteophytosis (bony remodeling). She had also torn her meniscus. This type of disease is common in dogs, particularly medium- and large-breeds like retrievers. Dr. Ursula Krotscheck, chief of Small Animal Surgery at Cornell University Hospital for Animals, points out a ruptured cruciate is the most common reason dogs are referred to Cornell for orthopedic surgery. ?If we see a large-breed dog with hind leg lameness this is usually the first suspicion,? she says.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.053 | 0.023 |
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".