Conference proceedings from the Western Canadian Neuromuscular Conference (WCNMC) — September 27–29, 2024, Calgary, Canada
Bibliographic record
Abstract
The Western Canadian Neuromuscular Conference (WCNMC) is a conference focused on neuromuscular medicine that was held in Calgary, Alberta from September 27-29, 2024. Although WCNMC has a history going back to 2010 as a regional event, the most recent iteration of the conference aimed to expand this as a national meeting. A collaboration with Muscular Dystrophy Canada and the Neuromuscular Network for Canada (NMD4C) helped to achieve this goal and encourage participation from across Canada. Other goals for this event were to increase the opportunities for trainees, showcase new research, and integrate new topics into the program. The sessions included a clinicopathologic case series for the first time, which was led by neuromuscular fellows from across Canada. Sessions covering topics in neuromuscular disease focused on challenging diagnostic situations, and therapeutic developments for diseases including spinal muscular atrophy, Pompe disease, and TTR amyloidosis. A separate session covered genetic neuromuscular diseases, with a focus on conditions with genetic founder effects in western Canada. Finally, a transdisciplinary session was included, which discussed patient-focused issues in neuromuscular care, as well as preliminary results from the Burden of Inherited Neuromuscular Disease (BIND) study, on the indirect costs of living with a neuromuscular disorder. A research symposium at the conclusion of the event focused on trainee-led research but also included lectures regarding antisense therapies in neuromuscular disease and updates in research on amyotrophic lateral sclerosis.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.272 | 0.081 |
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".