Bibliographic record
Abstract
A 36-kg (79-lb) 12-year-old spayed female Labrador Retriever was referred to the Foster Hospital for Small Animals for evaluation. The dog had a history of profound polyuria and polydipsia of several months' duration. On initial evaluation, the dog was laterally recumbent, and signs of moderate pain in the cranial aspect of the abdomen were noted on palpation. A fundic examination revealed retinal hemorrhages in the right eye and a luxated lens in the left eye. Oscillometric systolic arterial blood pressure was 180 mm Hg, and oscillometric diastolic arterial blood pressure was 100 mm Hg; hypertension was believed to be responsible for the ocular pathological findings. Pertinent findings on CBC, plasma biochemical analysis, and urinalysis included neutrophilia (33.2 × 103 neutrophils/μL; reference interval, 4.9 × 103 neutrophils/μL to 16.9 × 103 neutrophils/μL), hypokalemia (potassium concentration, 2.1 mEq/L; reference interval, 3.7 to 5.4 mEq/L), hypomagnesemia (magnesium concentration, 1.4 mEq/L; reference interval, 1.8 to 2.6 mEq/L), and hyposthenuria (urine specific gravity, 1.005). Findings on thoracic radiographs were unremarkable...
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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 | 0.006 |
| 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 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.016 | 0.009 |
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".