Displasia de codo en caninos de Medellín, Colombia: estudio retrospectivo
Bibliographic record
Abstract
The study aimed to determine the frequency of elbow dysplasia (ED) in canines by evaluating radiographs taken in veterinary clinics in the city of Medellín and its Metropolitan area between 2018 and 2020. Frequency tables and simple logistic regression were used with association between variables with the calculation of ED proportions according to sex, age and breed. A total of 292 radiographic studies were analysed. A greater proportion of cases was found in males (59%) than in females (41%), with 58.6% being older than 5 years. The Golden Retriever, Labrador Retriever, English Bulldog, Pug, Pitbull, Rottweiler and Mountain Bernese breeds had the highest presentation of ED in the studied population and showed a significant association between these breeds and the development of ED. A greater proportion of affected males was found compared to females. The present study shows a high frequency of ED in some breeds, with articular incongruity (AI) being the predominant primary lesion and osteoarthrosis (OA) being the most frequently associated secondary lesion.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".