Dr. Solmaz, <i>et al</i> reply
Bibliographic record
Abstract
To the Editor: We sincerely thank Dr. Masi, et al for their comments in response to our manuscript, “Entheseal Changes in Response to Age, Body Mass Index and Physical Activity: An Ultrasound (US) Study in Healthy People”1,2. Our study had demonstrated that US changes within the enthesis are associated with older age, higher BMI, physical activity, and male sex. As seen in Figure 1 of the original manuscript, the slope of the US scores are different for patients younger and older than 50 years old; therefore, Masi, et al suggested looking at these subgroups separately in detail2. In Table 1, we have provided the multiple regression analysis for US scores of … Address correspondence to Dr. S.Z. Aydin, 1967 Riverside Drive, Ottawa, ON K1H 7W9, Canada. Email: saydin{at}toh.ca.
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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 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.023 | 0.027 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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".