Reply to Scott, Sale, Greeves, and Fraser
Bibliographic record
Abstract
TO THE EDITOR: We thank Scott et al.(1) for their interest in our recent study (2) that examined the acute response of bone turnover markers to a single bout of resistance training (RT) or plyometrics (PLY). We appreciate the acknowledgement of the strengths of our study design: we attempted to control for the effects of nutritional status and time-of-day variation on serum markers of bone turnover by comparing fasted and fed exercise trials and by including a fasted, no-exercise control trial, respectively. Ideally, we would have also included a fed, no-exercise control trial to examine the relative influence of feeding vs. exercise on COOH-terminal peptide of type I collagen (CTX) or osteocalcin (OC); however, it is worth noting that nutritional status, i.e., feeding vs. fasting, did not affect the postexercise response of TRABP5b, bone-specific alkaline phosphatase (BAP), cortisol, PTH, or testosterone.
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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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.021 | 0.035 |
| Insufficient payload (model declined to judge) | 0.006 | 0.006 |
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".