Exercise, Muscle, and Mitochondria: Signaling Mechanisms, Health Consequences and New Challenges for the Future
Bibliographic record
Abstract
Habitual physical activity has long been heralded as a laudable lifestyle behaviour, which can improve overall health and help stave off many major chronic diseases. In spite of substantial scientific evidence and public awareness about the importance of incorporating physical activity into our daily lives, the majority of the North American society remains insufficiently active, failing to meet the minimum requirements set forth by global health authorities. According to the World Health Organization, physical inactivity is now regarded as the 4th leading risk factor for premature death worldwide(1). In fact, recent research suggests that physical inactivity is responsible for approximately 6-10% of the world’s major noncommunicable diseases(2). These pathological conditions - which include cardiovascular disease, type 2 diabetes, and various types of cancers - account for nearly one third of all deaths that occur annually throughout the world, indicating just how important physical activity is in preventing the onset of 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.005 | 0.012 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".