What is your diagnosis? Intra‐abdominal mass aspirate from a spayed dog with abdominal pain
Bibliographic record
Abstract
An 8-year-old, spayed female Labrador Retriever was presented for evaluation of unwillingness to exercise. On clinical examination abdominal pain was elicited, and a midabdominal mass was detected in survey radiographs. Ultrasound-guided fine-needle aspiration of the intra-abdominal mass was done. The cytologic findings indicated chronic granulomatous inflammation with reactive fibroplasia, cholesterol crystals, and extracellular foreign material. The foreign material consisted of opaque, basophilic fragments of uniform width (5-10 mum) and variable length (30-180 microm) and was observed extracellularly and within macrophages. The material was birefringent under polarized light. Histologic examination of the excised mass confirmed the cytologic findings and a diagnosis of gossypiboma (textiloma) was made, consistent with retention of a surgical sponge. This case provides a unique example of the utility of fine-needle aspiration for the diagnosis of gossypiboma.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".