Bibliographic record
Abstract
Abstract Aerobic processes require oxygen, and anaerobic processes are typically hindered by it. In many places in the global ocean, oxygen is completely removed at mid‐water depths forming anoxic oxygen minimum zones (A‐OMZs). Within the oxygen gradients linking oxygenated waters with A‐OMZs, there is a transition from aerobic to anaerobic microbial processes. This transition is not sharp and there is an overlap between processes using oxygen and those using other electron acceptors. This review will focus on the oxygen control of aerobic and anaerobic metabolisms and will explore how this overlap impacts both the carbon and nitrogen cycles in A‐OMZ environments. We will discuss new findings on non‐phototrophic microbial processes that produce oxygen, and we focus on how oxygen impacts the loss of fixed nitrogen (as N 2 ) from A‐OMZ waters. There are both physiological and environmental controls on the activities of microbial processes responsible for N 2 loss, and the environmental controls are active at extremely low levels of oxygen. Understanding how these controls function will be critical to understanding and predicting how fixed‐nitrogen loss in the oceans will respond to future global warming.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".