Bibliographic record
Abstract
A 6 year old, 46.8 kg castrated male Golden Retriever was referred to Cornell's Oncology Service for evaluation and treatment of a cranial mass. The patient had a one month history of trismus, oral pain, and an expanding mass caudal to the left orbit. On physical examination there was a 7.5 x 4.0 x 5.5 cm firm, non-movable mass caudal to the left orbit in the area of the left temporalis muscle. A diagnosis ofmultilobular tumor of bone was made through histopathology and computed tomographic (CT) imaging. The CT scan also showed that the mass was arising from the left coronoid process. Staging with three view thoracic radiographs and abdominal ultrasound revealed no clinically evident metastasis. Surgical excision is the best form of treatment for multilobular tumor of bone and a left zygomatectomy and left coronoidectomy were performed. Two days after surgery the patient was discharged into the care of his owners. Clinical signs had resolved by the two week post-op evaluation.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".