Bibliographic record
Abstract
A 9-year old, female spayed Labrador Retriever was presented to CUHA?s Soft Tissue Surgery Service with a previously diagnosed grade I soft tissue sarcoma (STS) on the mid-antebrachium. The tumor was first noted in January of 2019 and an incisional biopsy was performed by the primary care veterinarian. Histopathology was consistent with a grade I soft tissue sarcoma with incomplete margins. The patient had full staging with CUHA?s Oncology Service prior to her presentation; there was no evidence of metastasis. On presentation, the patient was bright, alert, and responsive with vital parameters within normal limits. A stable, well-defined and semi-movable 2.0 x 1.7 x 1.3 cm subcutaneous dermal mass was appreciated on the cranio-medial aspect of the right antebrachium. Several other historic lipomas were appreciated as well. The rest of the physical exam was unremarkable, and the patient was apparently systemically healthy. This seminar will discuss curative intent surgical excision of the tumor and subsequent use and post-operative care of a free skin graft with vacuum assisted closure (VAC) unit application.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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".