Bibliographic record
Abstract
Neoplasms within the animal's globe may be primary (arising from one of the intraocular tissues), secondary (invading the globe from an adjacent tissue), or metastatic (arising via hematogenous dissemination of a distant malignancy). Uveal melanocytic neoplasia is the most common primary intraocular neoplasm, occurring roughly three times as frequently as ciliary body epithelial neoplasms in dogs and 10 times as frequently as ciliary body epithelial neoplasms in cats. Other primary intraocular neoplasms include posttraumatic sarcomas of cats and rarely other species such as the rabbit, schwannomas of blue eyed dogs, astrocytomas, and primary neuroectodermal neoplasms including medulloepitheliomas and retinoblastomas in varied animal species. Secondary neoplasia is most commonly encountered with squamous cell carcinoma of cow, horse, and cat, and nasal adenocarcinomas with orbital extension in dogs. With diagnosis in hand the clinician must consider management options for the particular animal affected.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.010 |
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".