Bibliographic record
Abstract
This chapter considers major species, i.e., canine, feline, equine, and food and fiber animals. It also considers the more common systemic diseases or those in which the ophthalmic manifestations assist in establishing the clinical diagnosis. Excessive white or partial albinism occurs in the canine breeds with the merling gene. Dwarfism-associated ocular defects occur in the Samoyed and Labrador Retriever breeds. Congenital hydrocephalus can cause enlargement of the developing calvarium and displacement of the orbits. Chorioretinitis is characterized by multifocal round to oval lesions scattered throughout the tapetal and nontapetal fundi. Infectious canine hepatitis (ICH) caused by canine adenovirus-1 (CAV-1) has been associated with ophthalmic disease since its initial report in 1947. The canine papilloma virus can result in focal papillomas affecting the mucus membranes of the mouth, eyelids, conjunctiva and nictitating membrane, and cornea. Rickettsial infections such as ehrlichiosis and infectious cyclic thrombocytopenia and Rocky Mountain spotted fever produce ocular signs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".