Hypocalcemia Following Surgical Excision of Metastatic Anal Sac Adenocarcinoma in a Labrador Retriever
Bibliographic record
Abstract
A ten-year-old female spayed Labrador Retriever presented for apocrine gland anal sac adenocarcinoma with regional lymph node metastasis and humoral hypercalcemia of malignancy. At presentation ionized calcium was 2.15 mmol/L (reference range 1.18-1.37 mmol/L). Medical treatment to decrease the ionized calcium was initiated and the following day surgical removal of the primary tumor and metastatic lymph nodes was performed. Following surgery the patient did well and was discharged; however, later developed clinically symptomatic hypocalcemia. The dog was hospitalized for stabilization and calcium was normalized with calcium carbonate and calcitriol. The dog eventually became hypercalcemic once again, but this was resolved by decreasing the doses of, and then discontinuing calcium carbonate and calcitriol.
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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 | 0.002 | 0.001 |
| 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".