The Endocannabinoid System as a Potential Therapeutic Target for Amyotrophic Lateral Sclerosis
Bibliographic record
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by a selective loss of motor neurons from the spinal cord, brainstem and motor cortex. With a prevalence of about 5.5–9.9 per 100,000 persons, ALS is the most common form of motor neuron disease (MND). Although the mechanisms underlying the pathophysiology of this condition are not yet fully understood, it is believed that excitotoxicity, inflammation and oxidative stress play an important role in selective motor neuron death. Despite intensive research, up to this point no cure for ALS has been identified. There is increasing evidence that cannabinoids, due to their anti-glutamatergic and anti-inflammatory actions, may show neuroprotective effects in ALS patients and slow the progression of the disease. Furthermore, cannabis-based medicine may be useful in managing symptoms like pain, spasticity or weight loss. The aim of this chapter is to summarize the current state of research regarding the efficacy and safety of medical cannabis in the treatment of ALS.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.012 |
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".