Canadian Association of Neuropathologists Abstracts of papers and cases presented at the 40th Annual Meeting
Bibliographic record
Abstract
The 40th annual meeting of the Canadian Association of Neuropathologists was held from October 18 - 21st, 2000 at The Banff Centre in Banff, Alberta. Local arrangements were made by Drs. Bernadette Curry and Barry Rewcastle. The scientific session consisted of 15 platform presentations and 13 cases for diagnosis. The Royal College of Physicians and Surgeons of Canada speaker was Dr. James Rutka, Professor and Chair, Department of Neurosurgery, University of Toronto and The Hospital for Sick Children. His talk was entitled “New Insights into the Molecular Genetics and Pathology of Human Brain Tumors”. The Jerzy Olszewski lecturer was Dr. Voon Wee Yong, Associate Professor, AHFMR Senior Scholar and MRC Scientist, Departments of Oncology and Clinical Neurosciences, University of Calgary. His talk was entitled “Complexities of Neuro-inflammation: Pathology and Regeneration”. The invited lecturer was Dr. Catherine Bergeron, Neuropathologist, Centre for Research in Neurodegenerative Diseases, University of Toronto and Toronto Western Hospital. Her talk was entitled “The Many Faces of Human Prion Diseases”.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.075 | 0.019 |
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".