Bibliographic record
Abstract
HistoryA 2-year-old castrated male Newfoundland with a 4-month history of lingual masses was examined.On physical examination, 2 masses were identified at the base of the tongue.The larger mass was located in the caudal portion of the left side of the tongue, midway between the median sulcus and the margin.It measured 10 X 5 cm and was ulcerated.The smaller mass was located at the margin of the right side of the tongue, near the tongue' s base.It measured approximately 5 cm in diameter.Both masses were firm, and their margins were well circumscribed on palpation.The owner reported that blood had been observed in the saliva only once.The dog was eating and drinking well at home but seemed to gag more than usual.The dog also had a history of forelimb lameness but was not lame at the time of evaluation.Results of a CBC were unremarkable, and serum biochemical analysis findings included calcium concentration of 2.93 mmol/L (reference interval, 2.02 to 2.91 mmol/L), phosphorus concentration of 1.92 mmol/L (reference interval, 0.84 to 1.83 mmol/L), glucose concentration of 6.6 mmol/L (reference interval, 4.0 to 6.3 mmol/L), cholesterol concentration of 8.42 mmol/L (reference interval, 3.87 to 8.39 mmol/L), and creatinine kinase activity of 276 U/L (reference interval, 44 to 249 U/L).Radiographs of the tongue were obtained (Figure 1).Determine whether additional imaging studies are required, or make your diagnosis from Figure 1-then turn the page
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.035 | 0.012 |
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".