Oculo‐skeletal dysplasia in five Labrador Retrievers
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To describe the clinical features and diagnostic findings of Labrador Retrievers with oculo-skeletal dysplasia (OSD). ANIMAL STUDIED: Five privately owned dogs. PROCEDURES: Medical records of dogs diagnosed with OSD from 2008 through 2018 were reviewed. Patients were excluded if lacking disease confirmation through genetic testing (Optigen RD/OSD). Information collected included signalment, physical and ophthalmic examination findings, results of ocular ultrasound and electroretinogram, and digital radiographs of forelimbs and pelvis. RESULTS: All five dogs were Labrador Retrievers, confirmed to be homozygote for the OSD mutation. The main physical abnormalities were vision deficits (5 dogs), short-limbed dwarfism (5), carpal valgus (4), and color dilution alopecia (4). The main ophthalmic anomalies were cataracts (10 eyes), vitreous syneresis (10), retinal separation (6), persistent hyperplastic primary vitreous (2), lens coloboma (2), microphakia (2), and persistent tunica vasculosa lentis (1). Ocular ultrasound and electroretinogram confirmed the diagnoses of retinal separations and persistent hyperplastic primary vitreous. Radiographic changes included shortening of ulna and curved radius (5 dogs), elbow incongruity and osteoarthritis (4 dogs), hip dysplasia (3), and coxofemoral osteoarthritis (2). Available follow-up information (2 dogs) showed progression of cataract from incipient to mature in one dog, necessitating cataract surgery, and progression of cataract and lameness in another dog. CONCLUSIONS: The clinical findings of OSD are described in five Labrador Retrievers. DNA testing is critical to diagnose OSD and help eradicate this condition from the breed. Progression of cataracts and osteoarthritis in dogs with OSD warrants yearly monitoring.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 it