Developing a consortium for ALS clinical research: the Canadian ALS Research Network
Bibliographic record
Abstract
Amyotrophic lateral sclerosis (ALS) is an incurable neurological disease characterized by progressive weakness resulting in death 2–5 years after symptom onset in most cases. Collaborative research initiatives have accelerated the search for effective treatments and are essential for the discovery process in a rare, terminal disease such as ALS. We describe the advantages of forming a disease specific network and chronicle the growth of the Canadian ALS Research Network. This includes forming infrastructure to perform clinical trials, building a program to conduct translational studies, partnering in epidemiological and imaging studies, and the development of quality of life and best practice guidelines. ALS research networks will continue to serve a pivotal role in improving the lives of patients with this devastating disease.
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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 | 0.085 | 0.077 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.007 | 0.012 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".