Relationship between essential amino acids and muscle mass, independent of habitual diets, in pre- and post-menopausal US women
Bibliographic record
Abstract
The purpose of this secondary analysis was to examine the relationship between protein and essential amino acids (EAAs) intake with the level of muscle mass (MM) independent of the diet. Twenty-one omnivores, 22 ovo-lacto-vegetarians and 20 vegans were recruited. MM (urinary creatinine), dietary intake (5-day dietary records) and biochemical analyses (urinary and plasma sex hormones) were obtained. We observed no significant difference between groups for MM, total EAA intake, leucine, isoleucine, age and body mass index. However, we observed a significant difference between groups for total dietary protein intake and total energy intake. Despite significant differences in total dietary protein, the EAA intake was not different, indicating that neither the amount nor the quality of protein in these diets was a limiting factor in determining the amount of MM. Thus, each of these diet patterns appears adequate to maintain MM.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".