Radiographic evaluation of elbow incongruity in Skye terriers
Bibliographic record
Abstract
OBJECTIVES: Aims of this study were to radiographically evaluate elbow congruity and to explore associations between elbow incongruity and lameness in Skye terriers. METHODS: Mediolateral, 90°-flexed, elbow joint radiographs were obtained for 45 Skye terriers. Elbow joint incongruity was graded mild, moderate or severe by measuring the width of the humeroulnar joint space. A questionnaire provided information on lameness history for each dog. RESULTS: In total, 49% (22/45) of the dogs had moderate or severe elbow joint incongruity which associated with lameness. Owner-reported lameness was common: 15/45 (33%) dogs had been lame when less than one year old, and 6 (14%) had been lame at an older age. All dogs presenting with lameness when older than one year had also been lame in adolescence. CLINICAL SIGNIFICANCE: Lameness and moderate-to-severe elbow joint incongruity were common in Skye terriers and the two were associated. A novel protocol for radiographic screening of elbow joint incongruity of chondrodystrophic breeds is suggested.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".