Bibliographic record
Abstract
All editorial matter in CMAJ represents the opinions of the authors and not necessarily those of the Canadian Medical Association. The preservation of functional independence in elderlypeople depends on the ability to maintain musclemass, strength and balance. Sarcopenia refers to the age-related declines in muscle mass and function and is as-sociated with an increased risk of falls, fractures and frailty.1 The cause of sarcopenia is multifactorial, and suggested mechanisms include declines in local growth factors (e.g., insulin-like growth factor), mitochondrial dysfunction, mus-cle-fibre atrophy and the loss of functioning motor units.1,2 Various interventions have been used to target the decline in muscle strength in elderly people. Resistance exercise train-ing and the use of nutritional supplementation have been shown to significantly improve muscle mass and function.3,4 However, it is often difficult for elderly people to sustain these types of exercise programs, which has prompted the exploration of other interventions.
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 | 0.003 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.014 | 0.010 |
| Insufficient payload (model declined to judge) | 0.094 | 0.043 |
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".