Canadian Association of Neuropathologists Abstracts of papers and cases presented at the 43rd Annual Meeting
Bibliographic record
Abstract
This 76-year-old man presented with a rapidly growing skull tumour eroding the occipital bone and invading the dura. He first noticed the mass after a "bump on the head" and after localised pain, remained otherwise asymptomatic. He had a remote history of residence in Indonesia and had been previously clinically well with diabetes mellitus. Physical examination was unremarkable with no scalp ulceration. The MRI reported a large lesion originating from the occipital bone, highly vascular, with foci of hemorrhage and apparent infiltration of the superior sagittal sinus. The patient underwent a gross total resection of the lesion, uneventful apart from profuse intraoperative bleeding. Postoperative abdominal imaging showed a liver mass with involvement of the portal venous system. Pathologic examination showed macroscopically, a well defined mass with focal hemorrhage, and microscopically, a malignant neoplasm
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; both teacher heads agree on what is shown here.
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".