β-alanine efficacy for sports performance improvement: from science to practice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
β-alanine is a popular supplement among athletes with 61% of competitive team sport players recently surveyed reporting β-alanine use.1 Despite its popularity, there is limited evidence on the most effective supplementation strategy and the systematic review and meta-analysis published by Sauders B et al 2 has shed some light on this issue. Athletes' understanding of β-alanine potential benefits and appropriate daily dose and duration of consumption is low,1 potentially compromising the impact of β-alanine supplementation in a real world setting. This editorial aims to highlight issues regarding the efficacy of β-alanine supplementation and suggest possible approaches to improve its effectiveness in the field. The mechanism of ergogenic effect of β-alanine as the precursor to carnosine synthesis is associated with an expansion of its key physiological role as a proton buffer with potential for antioxidant, glycation and calcium regulation influence.3 Increases in carnosine muscle levels depend on the β-alanine load provided.4 β-alanine supplementation of 4–6 g/day for …
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it