Dr. Zhao, <i>et al,</i> reply
Bibliographic record
Abstract
We thank Dr. Johannes Roth for his comments1 on our recent publication2. Dr. Roth raises several important points. The first is that for a Doppler signal to be considered abnormal it must exist within thickened synovium. This is based on adult studies and a recent consensus conference defining ultrasound (US) requirements for the pediatric population3. Physiologic blood flow may exist within the joint space of children without abnormal structural changes of the synovium. Thus, if these new definitions of Doppler signal detection in synovitis for children are applied to the images for our study, the presence of synovitis would have been much less frequent in … Address correspondence to Dr. Y. Zhao, MA 7.110, 4800 Sand Point Way NE, Seattle, Washington 98105, USA. E-mail: yongdong.zhao{at}seattlechildrens.org
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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 | 0.021 |
| 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 | 0.028 | 0.028 |
| 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".