Report of the 1st and 2nd Mystery of Reactive Oxygen Species Conferences
Bibliographic record
Abstract
sient ROS play an important role in the defense mechanism of immune cells and redox signaling, whereas prolonged ROS elevation is involved in disease development and progression.With global progress in the AOP development field, multiple, slightly nuanced KEs related to ROS have been created in the AOP-Wiki 2 .Many of these KEs are highly similar and largely redundant, which has catalyzed a need to create harmonized consensus KEs on ROS that can be shared in a modular fashion between closely related pathways and networks.To address this need, a consortium of ROS and AOP experts has been formed to discuss the "Mystery of ROS" and develop consensus KEs for this field.This meeting report summarizes initial efforts of the "Mystery of ROS" consortium to harmonize the ROS-related KEs currently available in the AOP-Wiki.The two new modular KEs reflect discussion from the group relating to the effects of ROS presenting a "double-edged sword" by describing the concepts of "up-regulation of ROS" and "diminished protective response." Summary of the discussions in the consortiumThe international online conferences on the Mystery of ROS took place on May 31, 2021 and October 8, 2021.At the first conference on Mystery of ROS (I), a brief introduction of the ROS collaboration was followed by eight presentations, which are listed in Table 1.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.013 | 0.020 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".