Bibliographic record
Abstract
The marathon is considered one of the most demanding endurance events, imposing an enormous amount of physiological stress on bodily structures, the metabolic machinery, and organ systems. Scientific evidence has conclusively shown that marathoners are in need of special nutritional strategies to maintain performance and health. Indeed, among competitive athletes, marathoners are at greater risk to develop anemia, bone mineral density loss, immunosuppression, and other clinical syndromes that may affect performance. Inadequate dietary intake of the micronutrient iron has been identified as one key factor in the development of the above mentioned anomalies. In fact, iron is one of the few nutrients recommended as a supplement by the American College of Sports Medicine (ACSM), the Academy of Nutrition and Dietetics (AND), and Dietitians of Canada. Therefore, the aim of this review article is to discuss the role of iron on the marathoner's health and performance. Special emphasis will be given to the physiological mechanisms accounting for the additional iron need in this group of athletes and the nutritional strategies intended to counteract iron deficiency.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 0.016 |
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".