Bibliographic record
Abstract
A 9 year old castrated male Labrador Retriever presented to the Cornell University Hospital for Animals (CUHA) with a 1 year history of intermittent weakness, collapse, and 2 generalized seizures. The dog had documented hypoglycemia and hyerinsulinemia during these episodes as well as relief of clinical signs after glucose supplementation. On presentation to CUHA, physical examination revealed a mildly over-conditioned (BCS=7/9) dog with iris cysts OU. Blood glucose concentration was 42 mg/dL (reference range 60-120 mg/dL). Based on the patient's history and elevated amended insulin:glucose ratio, an insulinoma was presumptively diagnosed. Initial management with nutritional modification and exercise restriction failed to adequately control clinical signs, so surgical removal of the insulinoma along with excision of two liver nodules (metastatic insulinoma) was performed. Persistent hypoglycemia prompted additional medical management of diazoxide and prednisone. The purpose of this case report is to characterize the common clinical presentation, diagnosis, treatment, and prognosis of canine insulinomas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".