Celebrating three years of Science in One Health: shaping a transdisciplinary community
Bibliographic record
Abstract
(SOH) has served as a platform for advancing One Health knowledge and practice since 2022. Guided by the vision of "One World, One Health", SOH is committed to exploring health issues at the human-animal-environment interface. Over the past three years, SOH has built an ambitious and dynamic editorial board across diverse disciplines, expanding its global influence and establishing itself as a global One Health community of authors and readers. So far, SOH has published 4 volumes, featuring 90 influential articles. Among them, 11 articles have garnered 17-82 citations, and 10 have achieved 2700-12,000 downloads. The third anniversary is considered a significant milestone, which marks a solid foundation for sustained growth. Moving forward, we expect to shape the future of One Health in collaboration with authors, readers, reviewers, and editorial board members of SOH.
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How this classification was reachedexpand
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 | 0.028 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".