Functional Seascapes: Understanding the Consequences of Hypoxia and Spatial Patterning in Pelagic Ecosystems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
With greater nutrient loading and seasonal water column stratification, dissolved oxygen has been declining in many of the world’s coastal areas, and climate warming is likely to exacerbate this problem (e.g., Roman et al., 2019, and references cited therein). Low dissolved oxygen or hypoxia can profoundly affect a fish’s growth, survival, and reproductive success, but tolerances to low dissolved oxygen differ across species. The level of hypoxic stress is also dependent on ambient water temperatures and prey availability. A fundamental challenge to fisheries management is to understand how hypoxia affects fish under different environmental conditions. In this paper, we introduce a new approach to assessing the impacts of hypoxia on fish that can be used to compare impacts among species as well as across other physical, biological, and chemical gradients and in response to environmental change.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it